Conventional Model Predictive Control (MPC) for Active Neutral Point Clamped (ANPC) converters requires a complex tuning of weighting factors in its multi-objective cost function. This paper proposes a Sequential Predictive Current Control (SPCC) strategy that eliminates the need for such weighting factors, simplifying controller design for reactive power compensation applications. The proposed method employs a two-stage sequential optimization: first, it identifies a candidate subset of switching states that minimizes current tracking error, and second, it selects the optimal state from this subset to ensure DC-link capacitor voltage balancing. The resulting optimal voltage reference is synthesized by a standard Pulse Width Modulation (PWM) stage, which ensures a fixed switching frequency and improves the harmonic spectrum compared to direct MPC methods. This sequential approach decouples the control objectives, offering a simpler and more robust tuning process. Simulation studies validate the strategy, demonstrating excellent reference current tracking and robust voltage balancing while maintaining low harmonic distortion in the source current.

This paper proposes a Sequential Model-Based Predictive Current Control (SMBPC) integrated with Space Vector Modulation (SVM) for reactive power compensation in three-level Neutral Point Clamped (NPC) inverters. The sequential approach optimizes reference current selection and capacitor voltage balance, employing a two-stage cost function to minimize voltage imbalance. Additionally, this work approach obviates the need for weighting factors, as the cost function is not multi-objective, streamlining the optimization process and reducing computational complexity. Simulation studies are provided to show the effectiveness of this proposal demonstrating accurate current reference tracking.

The three-phase single-stage differential boost inverter (DBI) has drawn significant attention in power conversion systems when feeding permanent magnet synchronous motors (PMSM). It offers advantages such as single-stage boosting, high efficiency, cost-effectiveness, and a compact structure. However, its nonlinear and non-minimum phase characteristics pose challenges for control. In this paper, the application of model predictive control (MPC) for PMSM fed by the three-phase DBI is focused on. Firstly, the modeling method of the three-phase DBI is presented. Subsequently, an MPC approach for PMSM fed by three-phase DBI is proposed. Based on the established predictive models of circuit currents and voltages, the appropriate duty cycle for the next sampling period can be predicted, which simplifies the control process and parameter design compared to traditional exclusively PI-based control. Simulation experiments are carried out to verify the effectiveness of the proposed MPC strategy for PMSM driven by the three-phase DBI.

This paper addresses the problem of optimizing the ultrasonic shock wave signal gain based on the Time - Reversal Mirror (TRM) technology. A method system combining channel modeling, Virtual Time - Reversal Mirror (VTRM) simulation, and adaptive frequency - domain modulation is proposed. The research estimates the transfer function of the dispersive waveguide, analyzes the signal transmission characteristics in complex media through VTRM simulation, and further designs two frequency - domain modulation methods: frequency - domain windowing and frequency - domain iterative weighting. These methods optimize the spectral characteristics of the TRM excitation signal, thereby enhancing the energy focusing effect of the shock wave. The simulation results show that the optimized TRM method can effectively improve the shock wave gain and has a stronger signal enhancement ability compared with the traditional method. This optimization method can effectively overcome the limitation of the focusing performance of the traditional TRM technology in complex media, providing theoretical support for the design and optimization of ultrasonic shock wave signal generation devices.

Abstract—This paper presents a speed-sensorless approach for Direct Predictive Speed Control (DPSC) of Permanent Magnet Synchronous Motors (PMSMs). By eliminating the traditional cascade control structure, the proposed method enables integrated control of both electrical and mechanical systems under a single predictive law, witch can enhance control performance and operational robustness. Additionally, speed-sensorless control reduces the cost of the electric drive while contributing to increased system reliability. The proposed approach includes a cascade observer system composed of three key components: a Sliding Mode (SM) Back-Electromotive Force (BEMF) observer for estimating stator currents and BEMFs, a secondary BEMF observer for speed and rotor position estimation, and another SM observer for load torque estimation. The proposed observer is validated and compared to Extended Kalman Filter approach. Simulation results demonstrate that this cascade observer effectively tracks speed and load torque. While the proposed observer shows some limitations at very low speeds due to its BEMF-based nature, it generally offers robust performance across a range of operating conditions. The proposed drive system is tested in different operating conditions, and finally, satisfactory control performance is achieved overall.

This study presents a self-error compensated sequential predictive control (SE-SMPC) technique for three-phase multimodular matrix converters (MMMC). Traditional model-based predictive control (MPC) methods typically require manual tuning of weighting factors and involve significant computational effort. In contrast, the SE-SMPC method addresses these limitations by prioritizing control objectives hierarchically, thereby reducing the number of switching states without sacrificing system performance. A key feature of this approach is its builtin error self-compensation mechanism, which distributes and corrects prediction errors across modules, thereby improving dynamic accuracy. Simulation results show that the proposed controller provides accurate tracking of the load current, significantly reduces the input reactive power and offers high fault tolerance in the event of module failure. In addition, it has been shown to reduce total harmonic distortion (THD) without the need to design complex cost functions. These advantages make it particularly suitable for high-efficiency AC-AC power conversion in various renewable energy applications.

This paper presents the design and simulation of a multimodular power conversion system based on voltage source inverters (VSI), composed of two parallel-connected three-phase modules driving an induction motor. A self-error-compensated predictive current control strategy is proposed to coordinate the modules, enabling dynamic current sharing and fault-tolerant operation. In the event of a failure, the control scheme incorporates the tracking error of the faulty module into the cost function of the operational one, improving performance and continuity. Simulation results demonstrate the effectiveness of the proposed method, with improved dynamic response, reduced root mean square error (RMSE), and lower total harmonic distortion (THD) under both normal and fault conditions.

The three-phase differential boost inverter is a special type of power inverter that offers single-stage boosting capability, combining high efficiency, low cost and compact size. However, it is complicated to control due to its non-linearity. Conventional open-loop control and dual-loop proportional-integral (PI) control is realized through the pulse width modulation (PWM). This paper reviews the basic principles and conventional control methods of the three-phase differential boost inverter. Then, a model predictive control (MPC) method of the three-phase DBI is proposed. Based on the established discrete models of circuits currents and voltages, the optimal switching state can be selected relying on a predefined cost function. Simulation studies are carried out to verify effectiveness of the proposed MPC of three-phase DBI.

The boost converter-based single-stage buck/boost inverter overcomes challenges that step-up voltage limitations of traditional voltage source inverter, the increased cost and control complexity of two-stage inverters, and the limited step-up range of single-stage impedance source inverters. Whereas, its ac output includes a dc bias at the value of dc source voltage and ac load voltage amplitude. Therefore, its boost ratio would be still limited because of the voltage rating limitation of practical power devices. This paper proposes a novel high-gain single-stage buck/boost inverter, without loss of low voltage stress and high boost ratio. The topology, operating principle, and modulation are disclosed. Simulation studies are carried out to demonstrate effectiveness of the proposed inverter.

The permanent magnet synchronous motor (PMSM) is widely adopted in the industry. However, current testing systems for PMSM drives exhibit several limitations. This article proposes a quasi-Z source inverter (qZSI) based PMSM emulator, which can emulate a PMSM with different test schemes under different working conditions. The motor emulator (ME) proposed in this paper is able to solve the inherent defects of the traditional inverter. Improve the quality of output voltage and the reliability of inverter system. In this paper, the parameterized model of PMSM and mathematical model of the qZSI are established firstly. Based on that, the PMSM emulator is developed and tested for different operating conditions. Matlab simulations have been used to verify the viability and efficiency of the system.

This paper presents the implementation of LoRaWAN-based non-invasive temperature sensor nodes for detecting loss points in distribution networks. The primary challenges involve integrating and calibrating the electronic components, including temperature sensors, LoRaWAN modules, and digital processors, to develop a robust system for analyzing loss points using thermal measurement techniques. The system employs activation by personalization for deploying sensor nodes, which simplifies the activation process and enhances network efficiency. The data collected is securely transmitted to a network server, then analyzed on an application server to identify loss points. This methodology aims to automate the analysis and detection of losses in medium and high voltage distribution networks, offering a technologically advanced, rapidly deployable, and cost-effective solution. Initial results demonstrate the system’s effectiveness in providing accurate and timely detection of loss points, contributing to improved network efficiency and sustainability.

Due to their single-stage step-down nature, current source rectifiers (CSR) constitute attractive options for supplying high-power electrolyzers. To increase system power rating, parallel configurations can be adopted with interleaved Pulse Width Modulation (PWM) techniques that improve power quality and reduce the size of filtering elements. Optimal design of the output dc inductance is crucial to achieve cost-effective and competitive solutions. However, common design methods for one single CSR do not achieve optimal designs. There are hardly any specific design methods for interleaved CSRs either. This paper analyzes the operation of parallel interleaved CSRs supplying high-power electrolyzers and develops a methodology to optimally size the output dc inductances. In addition, a common mode equivalent circuit is developed to analyze the circulating currents caused by the interleaved operation and calculate the ripple in the inductances. When applied to a 3 MW electrolyzer, the results show that inductance size reductions of up to 69% can be obtained with the proposed methodology.

Model Predictive Control has emerged as a good alternative for the control of power converters. In this paper, variable and fixed switching frequency model predictive voltage control strategies are presented and analysed for an isolated load. In the fixed frequency scheme, a lower sampling frequency is required to achieve an AC voltage with a total harmonic distortion (THD) less than 5% but with a higher switching frequency compared to the variable frequency operation case. The results done in the simulation show that adding operational constraints to the filter current reduces AC voltage oscillations during transients, without affecting the performance of the voltage control.

Power electronic converters play a pivotal role in integrating renewable energy sources into the grid or standalone electrical power systems by converting and conditioning the generated power, achieving a sustainable future and reducing greenhouse gas emissions. This paper focuses on implementing an asymmetrical cascaded H-bridge multilevel power converter with hybrid modulation for on-grid solar photovoltaic generation systems. Specifically, this paper introduces a predictive current control and reactive power compensation capability. The paper evaluates the efficiency of the proposed system in terms of generated energy quality and the effectiveness of the predictive control strategy.

This paper studied the design of a predictive current control strategy with fault tolerance and reactive power minimization applied to a multi-modular topology based on indirect 2-level matrix converters fed by a six-phase generator. The control algorithm of the proposed strategy involves coupled current signals to perform error compensation between the converter modules, aiming to address potential system faults while maintaining reactive power close to zero. The results, obtained through simulation, were evaluated considering each module’s input and output currents and the final load current, as well as reactive power minimization, incorporating the obtained values of total harmonic distortion and mean squared error. The behaviour was analyzed in steady-state and transient conditions, with the system operating nominally and under fault conditions. The results demonstrate the effectiveness and good performance of the proposed strategy with the utilized topology, achieving a satisfactory response to faults through compensation and constant reactive power minimization.

A predictive current control design for a multi-modular indirect matrix converter using a three-level neutral-point clamped for the inverter side is studied. The multi-modular topology is based on two 3-Level Indirect Matrix Converter modules, and the control strategy proposal involves a single model-based predictive current control and the use of a coupled current signal. It is the interaction between the two three-phase output current of each module for error compensation between these, along with the ability to operate in failures. This article shows the results of the simulation in Matlab/Simulink of the 3-level multi-modular indirect matrix converter with coupled control, compared with an independent control for each module of the converter, in order to verify the performance obtained in terms of total harmonic distortion and mean square error. In addition, the analysis was carried out with respect to the behavior in transient, stationary state and with simulated failures for each module. The results obtained support the effectiveness of the control strategy with the proposed topology showing, with the control coupled, a decrease in the mean square error in the current signal of the final load, having a good value of total harmonic distortion and the capacity for optimal operation in the event of failures of the generation or conversion system.

To address the state-of-the-art challenges of variable-speed drives, this paper introduces Direct Speed Predictive Control (DSPC) for Induction Motor (IM) drive systems. DSPC eliminates cascaded control structures and enhances control performance by directly managing speed without intermediary loops. This approach promises improved dynamic response, operational efficiency, and adaptability across industrial applications, making a significant advancement on IM control technology. The proposed control method was validated via simulation results across different operational scenarios such as varying loads, speed fluctuations, dynamic changes, and parameter inaccuracies to assess its effectiveness. The outcomes affirm its reliable control performance.

Multi-phase wind generation systems are emerging as a promising technology for distributed generation systems. These systems can present unbalanced voltages or phase faults for several reasons. In this paper a modular three-phase direct matrix converter topology is used as conversion stage in a six-phase generation system to supply the desired current to a load. To achieve a reliable performance in the conversion stage, an improved predictive current control is proposed that take advantage of the modularity of the converter to enhance the behavior and to provide the capability to work continuously even under unbalance in the source or during fault operation of the generation system whilst achieving the desired tracking and power quality. The technique is compared against a classical approach to show the benefits of the proposed.

This paper proposes a new multilevel module for the cascaded multilevel inverter configurations. The proposed basic module consists of n number of the conventional two-level inverter connected by series-connection (called a multilevel module MLM) and one power switch with one power diode and are parallel together that generate positive and negative voltage levels. The proposed cascaded multilevel inverter analyzed in both states of symmetric and asymmetric. In order to generate all voltage levels (even and odd) at the output, three new algorithms to determine the magnitude of dc voltage sources proposed. The main advantages of proposed topology are increasing the number of voltage levels at the output with a lower number of power semiconductor switches, driver circuits, and dc voltage sources. Therefore, the proposed topology needs to smaller installation area and lower weight and reduces the total cost of the inverter. Experimental results from a laboratory-scale prototype presented to verify the performance of the proposed multilevel inverter.

A modulated model predictive control (M2PC) scheme for an indirect matrix converter is proposed in this paper, including an active damping method to mitigate the input filter resonance. The control strategy allows the instantaneous power control and the output current control at the same time, operating at a fixed frequency. An optimal switching pattern is used to emulate the desired waveform quality features of space vector modulation and achieve zero-current switching operations. The active damping technique emulates a virtual resistor which damps the filter resonance. Simulation results present a good tracking to the output-current references, unity input displacement power factor, the low input-current distortions and a reduced common-mode voltage (CMV).

This paper describes the application of a simplified indirect model predictive current control strategy for a direct Matrix Converter. The direct matrix converter has a large number of available switching states which implies that the implementation of predictive control high computational cost. In this paper, a predictive current control strategy is proposed in order to simplify the computational cost while avoiding the use of weighting factors. The method is based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. The proposed controller is enhanced with a fixed switching predictive strategy in order to improve the performance of the full system. Simulated results confirm the feasibility of the proposed controller demonstrating that it is an alternative to classical predictive control strategies for the direct matrix converter.

Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its simplicity and flexibility to include additional constraints within the control to have it suitable for different applications. In addition to describing many advantages of predictive control techniques, its limitations and weaknesses are also discussed along with some future trends and applications. Most important control aspects of predictive control are demonstrated through simulation analysis.

Over the past years a great amount of research has been done to interconnect different energy sources with the power grid or different types of loads. Current source inverters have proved to be a good option due to its high reliability, fault tolerant capabilities, quasi soft switching and the use of lower capacitor values among others. Most of the current source inverters topologies have a current source as input, which could be implemented with a buck converter, and they are controlled with cascaded linear control (usually PI controller), rotating frame coordinate transformation and a modulation stage. In this paper a predictive control strategy of a current source inverter together with its associated current source is presented. This strategy allows to track not only the output voltages at the load but also the current source within a single controller. The control algorithm makes use of a discrete time model of the whole system so as to predict its future behaviour for each one of the available switching combinations. Each one of the predicted values are used to minimize a set of predefined control goals within a multiple term cost function that includes cost associated with the commutation frequency and the reference tracking. Simulation results show a good behaviour and fast dynamics with a low switching frequency of all the switches involved. These characteristics make the proposed controller a suitable option to use with high power inverters.

There are several control techniques for active power filter applications. This paper presents a new alternative of predictive current control for a cascade H-bridge multilevel converter, where the optimal vector selected by the predictive controller is used for a modulation stage to obtain a fixed switching frequency. Simulation results validate the proposal where almost similar results can be obtained in comparison with the traditional methods.

The Future Global Electricity Network is expected to have large integration of renewable generators, and to be widely interconnected. As a consequence, the multi-modular bidirectional AC/AC power conversion architectures will play a major role in improving power flow controllability, power quality and availability. This paper proposes a new power converter topology suitable for AC/AC conversion in medium and high voltage applications, based on the matrix concept. The proposed topology combines the advantages of matrix converters with those of modular converters, providing high modularity and scalability, reduced weight and volume, minimum number of conversion stages and minimum energy storage. Galvanic isolation is provided at medium frequency, reducing size and cost of the transformer. The paper introduces the converter concept and commutation strategy and proposes a modified Venturini modulation in order to provide a per-switching cycle control of the Volt-Second balance across the transformer.

Proportional Resonant Control (PRC) is a well-known control technique applied on ac systems in order to ensure zero steady state error for sinusoidal references. However, this control technique is not suitable to operate in a variable frequency environment, which is typically found on weak micro grids and aircraft systems. Once the controller is designed, the resonant frequency is fixed, and therefore no zero steady state error can be ensured under operating frequency fluctuations. This paper extends the resonant control approach to operate in a larger frequency range in order to be applied in power inverters and achieving zero steady state error. A back-to-back topology case is studied, connected to a distorted supply (with variable frequency) feeding a critical load. The load-connected to the back-to-back topology- requires a given frequency and amplitude voltage which is easily achieved if the grid side converter successfully regulates the dc link voltage. In addition, a desired power factor at the point of common coupling can also be imposed. The approach is based in a discrete implementation of the PRC, where its resonant frequency tracks the grid frequency, independently of grid frequency variations. This issue is mathematically demonstrated and tested with accurate results.

This paper presents a deadbeat control technique applied in a voltage source rectifier to regulate both the dc voltage (active power) and reactive power injected to the grid. As the deadbeat control is based on the system model, it leads to a faster response, without overshoot and no need to tune the controller parameters. Hence, it is used to fully control the voltage source rectifier, achieving a fast dynamic response for both the dc voltage and the power factor at the point of connection. However, there are some issues related to the high amount of power required to reach the references -especially in the dc voltage- in a few control steps. The proposed technique also protects the equipment by limiting the maximum power drained to/from the source. The mathematical development is made as a function of the converter power in order to limit it, but at the same time tracking the references with high dynamics, characteristic typical of deadbeat control.

A simple and robust multi-objective predictive control method that incorporates four main control objectives applied to a single-phase three-level neutral-point-clamped (NPC) converter operating as an active power filter (APF) is proposed in this paper. The four control objectives are: to self-support the dc-bus voltage under load variations, to compensate the reactive power and the current harmonics and to balance the dc capacitor voltages by using a predefined combination of the converter redundant switching states. The key benefit of the proposed method is that these objectives are accomplished without using weighting factors in the cost function which eliminates problems such as multi-objective optimization or additional empirical procedures for determination of these factors. As a result, the method is easy to implement and selects fast the optimal voltage to improve the dynamic-state performance. The well-known effect of model parameter errors issue, which is inherent in predictive control methods, is also tested to confirm that the method is robust even when the predictive model has a 25% error between actual and the theoretically estimated grid impedance values.

This paper presents a novel topology for a dual three to n-phase direct matrix converter. The term "n" can be used for any number of output phases. The dual matrix converter topology is applied for open-end winding drive system in order to enhance output voltage and simultaneously eliminate common-mode voltage at the machine terminals. The input to each of the matrix converter is three phase utility grid system, whereas the output can be configured to any number of phases with variable voltage and frequency. Generalized carrier based pulse width modulation (PWM) technique is developed to control the dual matrix converters. A dual three to nine-phase matrix converter is utilized for discussion and analysis. The two matrix converters feeding the nine-phase open-end load are supplied from a common single three-phase utility source of 50 Hz. A simple R-L load is considered in the paper. The paper presents an analytical approach to obtain the expression of modulating signals that are used to generate switching pulses for the matrix converter. Simulation and experimental results are presented to support the idea of the proposed modulation scheme.

Power quality and reliability are inherent characteristics of the cascaded multilevel converters. However, in some converters, efforts should be made to ensure the durability and reliability of the equipment. This is the case of the single-phase current source cascaded inverter (SPCS-CI) in which, due to possible differences in the DC input current to each inverter of the system, it will be necessary to limit each output voltage of each unit. This can be done through a linear control strategy. In this work, the model and the mathematics of the problems caused by unbalanced DC currents in the described cascaded system are presented. Furthermore, a control scheme based on d-q reference frame components is proposed. Along with this, a control for the DC component voltages in the individual outputs of each inverter is added, which cannot be compensated completely by the d-q scheme. The proposed control strategy is a linear scheme with an updatable decoupler that allows to control d-q and DC voltages in a set of single-phase current source inverters disposed in a cascaded arrangement. Simulated results show the effectiveness of the proposed scheme.

An active power filter implemented with three single-phase Neutral Point Clamped (NPC) converters is presented and analyzed. The proposed active power filter is aimed to compensate current harmonics and reactive power in three-phase medium voltage power distribution systems. A predictive control algorithm provides the switching states that ensure fast current tracking capability. To take advantage of the predictive control implementation simplicity, this paper includes useful information to replicate this implementation on similar topologies of multilevel converters. The proposed scheme presents lower line to line voltage harmonic distortion as well as an independent control in each phase, compared with the conventional three-phase NPC topology. Simulated results confirm the implementation viability of the proposed active power filter topology and associated control strategy.

Nowadays the control of medium voltage motors has two main alternatives for its development: voltage source inverters (VSI); or current source inverters (CSI). The cascaded multilevel inverters derive from high voltage, high power quality and high reliability requirements in both development alternatives. Up to now, the cascaded multilevel converters have been implemented using voltage source power cells. However, they can also be implemented using current source units. One factor against CSIs is the large size of the inductive filters needed in the DC links, especially when single-phase inverters are considered. This paper presents a current-source cascaded multilevel converter (CS-CMC), based on single-phase power cells and their implementation alternatives, which enable a reduction in the sizes of the DC-link inductors. It is demonstrated that these sizes can be reduced using magnetic couplings between the DC links of the power cells. These magnetic couplings can eliminate second harmonic currents, as well as other even harmonics of current in the DC link of the power cells. This work asserts that the implementation of a current-source cascaded multilevel converter, based on single-phase power cells, must consider magnetic couplings between its DC links. Design results and the simulation of a development alternative of the system, aim to demonstrate the feasibility of implementing the cascaded multilevel converter.

The interest in electricity generation from photovoltaic (PV) systems has experienced significant growth in recent years, justified by the reduced environmental impact generated. The energy extracted from PV systems is related to the amount solar irradiation and thus the angle of incidence of the sun's rays on the surface of the panels. This paper presents, on one hand, a novel design of a biaxial solar tracking system (azimuth and elevation angle) for PV power application and on the other, the set-up of the control system focused on increasing the efficiency of the PV generation system across the implementing of a digital Proportional-Integral-Derivative (PID) position control scheme to achieve the maximum power point tracking (MPPT), ensuring the maximum energy available from the photovoltaic panels.

This work deals with the use of single-phase converters based on current-source inverters connected in a cascaded array (CSI-CHB) in order to get the dual topology of the classic Cascaded H-Bridged based on voltage-source inverters (CHB). The proposed configuration has similar advantages as the classic voltage source CHB as the use of semiconductors with lower voltage rating with respect to the load voltage. Moreover the CSI-CHB load voltage has a smaller distortion than the classic CHB due to the first order capacitive filter used at the inverters AC side. Also, the use of modulation techniques as phased-shifted carrier sinusoidal pulse modulation (PSC-SPWM) allows both, reduce the capacitive filter size and reduce the commutation frequency of the inverter switches. A theoretical analysis of the proposed topology and design guidelines for the capacitive filter are presented, considering a desired Total Harmonic Distortion (THD) on the load voltage and the SPWM modulation technique. Simulation results confirm the topology features.

A switching losses analysis is performed for an asymmetric multilevel Shunt Active Power Filter aimed to simultaneously compensate linear and nonlinear currents. The asymmetric approach consists in the inclusion of two types of modules; one meant for reactive power compensation and the other to cancel out the harmonic currents. Using the non-ideal behavior of the switching process in the power valves, the commutation losses of the presented approach are determined. Moreover, a comparison is performed with the symmetric counterpart and a power losses evaluation is made for both approaches. The analyses are carried out for a single operating point and for the entire operating region, considering the distorted power coming from the load. The presented results are supported with theoretical considerations and simulated waveforms.

In this paper is presented an alternative to generate sinusoidal output voltage waveforms using predictive control in an indirect matrix converter while achieving sinusoidal source currents on the input side. These objectives are accomplished by using a predictive control scheme which calculates the future values of the variables to be controlled in order to choose the converter state that produces the minimal error between them and their references. The proposed predictive method is tested by simulation results, obtaining sinusoidal output voltage and achieving a desired input displacement factor, with a low THD on both source currents and load voltages.

This article considers the speed control of asymmetrical dual three-phase generator by using an inner loop of Model Based Predictive Control (MBPC) to predict the effects of future control actions on the state variables. In order to achieve this goal, the algorithm uses both a Luenberger Observer and a Kalman Filter with the purpose of estimating the rotor currents. Thereafter, the speed control is used to reach the Maximum Power Point Tracking (MPPT), which ensures that it is delivered to the load. Finally, a comparison of the efficiency of the MBPC when considering the rotor current estimators and when they are used an estimator based on the state space representation.

The parallel association of classical commutation cells is a good solution for increasing the output current driven by the converters while the classical semiconductors technology are used. The control strategies used with this type of connection must be able to ensure good distribution of the output current among the different legs. This paper applies two control strategies based on the Model Predictive Control (MPC) in order to handle these type of connections. A comparison between these control strategies is also carried out by experiments.

Multilevel Converters are known to have many advantages for electricity network applications. In particular Cascaded H-Bridge Converters are attractive because of their inherent modularity and scalability. Predictive control for power converters is advantageous as a result of its applicability to discrete system and fast response. In this paper a novel control technique, named Modulated Model Predictive Control, is introduced with the aim to increase the performances of the Predictive control. The proposed controller is described in detail and validated through simulation and experimental testing, in comparison with Dead-Beat and Model Predictive Control.

A new predictive control strategy for current source rectifiers which allows an effective control of source and load currents is presented in this paper. This method uses the commutation states of the converter in the subsequent sampling time according to an optimization algorithm given by a cost function and the discrete system model. The two control goals are: (a) regulation of dc-link current according to an arbitrary reference, and (b) a good tracking of the source current to its sinusoidal reference. The feasibility of the proposed method is verified by MATLAB/Simulink software.

This Special Section is aimed to research academics and practicing engineers of the industrial electronics and industrial informatics communities to present their most recent findings related to digital control systems in power electronics. It is our pleasure to present this third part of the Special Section on Digital Control Systems in Power Electronics and Drives. The first part was already published in the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS in August 2012. The second part was published in the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS in February 2013. Now, we present the third and final part of this Special Section where more than 60 papers will be published. This Special Section presents to the power electronics community the most recent advances with topics such as the following: Modern digital control strategies and algorithms; Modulation methods; Advances in hardware implementation: FPGA, DSP, microcontrollers, etc.; Application to all type of topologies in power electronics; Application to all type of AC drives; and Other applications like renewable energies and smart grids, transportation, mining, pulp and paper, etc.

A predictive control algorithm specially developed for shunt active power filters aimed to compensate reactive power and current harmonics components is presented and analyzed. The proposed predictive control algorithm is implemented in a three-phase four-leg voltage-source inverter (4L-VSI). The use of a 4L-VSI allows the compensation of current harmonics, reactive power and neutral current harmonics generated by single-phase non-linear loads. A detailed mathematical model of the filter, including the effect of the power system equivalent impedance is derived and used to design the proposed predictive control algorithm. The proposed active power filter and associated control scheme performance and compensation effectiveness are demonstrated by simulation and with experimental results.

In this paper two control techniques: Finite States - Model Based Predictive Control (FS - MBPC) and Fuzzy Logic Control (FLC) are developed to obtain arbitrary output currents, needed in a variable speed Wind Energy Conversion System (WECS). In this study, the simulation performance between FS-MBPC and FLC of the rotor current in a Doubly Fed Induction Generator (DFIG) with an Indirect Matrix Converter is evaluated. The simulations were carried out with constant shaft speed, and constant ramp speed with arbitrary rotor current references. Both FS-MBPC and FLC showed very high performance, following smoothly and rapidly the current reference with a very low error. The FS-MBPC dynamic response is slightly better than of the FLC. However, fewer mathematical calculations, and less measured data, and fewer computational requirements suggest that FLC can be easier to implement in FPGAs instead of composite microprocessor-based control platforms.

Current model predictive control for a grid-connected four-leg voltage source converter application is presented in this paper. The solution of the optimum criterion defined by predictive control is considered as the reference current. This current will be applied based on projections of the different current control vectors corresponding to the switches states. Geometrical properties of the predicted current projections are used to achieve a current control strategy operating at fixed switching frequency. A laboratory model of the four-leg converter and its load has been constructed and its performance has been tested through experiments.

Multi-cell topologies based on three-phase input/singlephase output power modules have the drawback of dealing with an important oscillatory power in the DC link. This requires the use of a large DC link capacitor in order to minimize the DC link voltage ripple. Instead, this paper proposes a control scheme based on predictive control aimed to compensate the oscillatory power that allows the design of the DC link capacitor without oversizing it. However, this is achieved at expense of much distorted AC supply currents and amplified modulating signals. Such effects of the proposed compensating technique based on predictive control are mathematically characterized. The results show that the multi-pulse transformer guarantees distortion free overall AC currents. Simulated results show the feasibility of the proposed scheme.

This paper presents a novel model predictive control method for current source converters (CSC) following the duality with voltage source converters (VSC). In VSC the predictive control is applied to the output current, while in this work the CSC is controlled through the output voltage. The method is based on the discrete prediction model of the system, including the converter and output filter. The model is used to predict future behavior of the system variables for each switching state of the converter. The predictions are evaluated in a cost function that weights the level of accomplishment of the control goals. The switching state with best performance is then generated. The proposed algorithm predicts the output terminal voltages (includes the output filter capacitors), ensuring sinusoidal voltage generation without the need of cascaded control loops, coordinate transformations and modulation schemes found in classic solutions. In addition, low switching frequency is imposed by including the switching frequency in the cost function. Simulation results show a preliminary validation of the proposed control scheme, with comparable performance to the classical solutions, especially in terms of the current and voltage harmonic distortion.

Presented in this paper is a new strategy for indirect matrix converters that effectively mitigates common-mode voltages and allows an optimal control of source and load currents. This method uses the commutation state of the converter in the subsequent sampling time according to an optimization algorithm given by a simple cost function and the discrete system model. The control goals are regulation of output current according to an arbitrary reference and also a good tracking of the source current to its reference, which is imposed in order to obtain a sinusoidal waveform with low distortion. The technique is enhanced by a reduction of the common-mode voltage with an extra term in the cost function so as to avoid early motor winding failure and bearing deterioration. Simulation results support the theoretical development.

This paper presents a current control scheme with instantaneous reactive power minimization for an indirect matrix converter. The strategy uses the commutation state of the converter in the subsequent sampling time according to an optimization algorithm given by a simple cost function and the discrete system model. Using this strategy, harmonics in the input current generated by the resonance of the input filter are strongly reduced. Simulation and experimental results with a laboratory prototype are provided in order to validate the control scheme, and the effects of a distorted source voltage and filter resonance are analyzed.