On-board integrated battery chargers (OIBCs) have gained considerable attention due to their low volume and weight, achieved by employing the traction drive converter as the on-board charging unit. This approach eliminates the need for additional hardware, such as extra semiconductor switches or passive filter components. In this paper, a novel OIBC based on the open-winding motor (OWM) drive is introduced. The proposed OIBC configuration is designed for single-phase power grids, making it particularly suitable for direct residential charging with household power without the need for additional conversion stages. The dual-inverter-fed OWM drive transforms into a power factor correction (PFC) converter and a two-phase interleaved buck converter during charging. Due to using the interleaved structure, the proposed OIBC supports fast-charging functionality, which reduces overall charging times. This paper applies the finite control-set model predictive control (FCS-MPC) along with a disturbance observer-based (DOB) method for the currents and voltages of both PFC and interleaved converters. This integration removes the need for a separate control board or a dedicated charging control algorithm. The validation of the proposed OIBC configuration and the MPC methodology is performed in MATLAB/Simulink software.

This paper presents the synthesis of a robust Linear Matrix Inequalities (LMI) based control for a quadratic buck converter. Concretely, the paper proposes a controller that ensures some prescribed constraints on the location of poles, saturated control inputs and a certain level of disturbance rejection, while taking into account parametric uncertainties. The controller design based on LMIs is solved for the defined specification in close loop through YALMIP toolbox. Simulation results with PSIM are presented to validate the theoretical study.

The integration of WBG based high frequency inverters with ultra-high speed Permanent Magnet Synchronous Machines (PMSMs) presents unique challenges in managing Electromagnetic Interference (EMI), crucial for ensuring electromagnetic compatibility (EMC). This work presents the design and validation of EMI filters for a high frequency WBG-based bi-directional grid-tie inverter, specifically developed for ultra-high-speed PMSM applications. Without EMI filter, the inverter cannot meet the conducted emission limits in the relevant standards. By Utilizing the grid and machine side filters, the system complies within the strictest category 1 limits of IEC61800-3 for use in residential areas. Test results confirm that the new filter significantly enhances electromagnetic compatibility, reducing EMI below industry limits while maintaining inverter efficiency and dynamic response. The inverter developed and experiments conducted on ultra-high-speed 180,000 rpm, 3 kW, with 400V DC link developed on both SiC and GaN switching at 100kHz. The work’s outcomes not only further the integration of high-speed PMSMs into smart grids but also pave the way for future innovations in power electronics design. This work is expected to facilitate the wider adoption of WBG technology in critical energy infrastructure.

This paper presents an improved model-free control (MFC) with a modified state observer to regulate the speed in the finite-set predictive current control (FS-PCC) of permanent magnet synchronous motor (PMSM) drives. In the proposed method, the lumped disturbance is removed from the formulations. So, the extended state observer is not required. Instead, a function of the estimation error plays the role of the lumped disturbance. In this way, a simple yet precise disturbance estimation is achieved. Furthermore, the proposed MFC utilizes a nonlinear control law instead of the regular proportional controller to track the speed reference rapidly. The inner control loop of the drive is constructed based on the model-free FS-PCC. Thus, the overall control system is independent of the classical model of the PMSM creating a fully robust predictive control. The proposed model-free speed-controlled FS-PCC (MFSC-FS-PCC) is evaluated through simulations and experiments. The results show that the proposed method has a fast dynamic response while preserving good steady-state performance.

Model predictive torque and flux control has shown some advantages over the classical methods. However, one of the challenges that still need to be investigated is the establishment of a control balance between the torque and flux which leads to better switching state selection. Traditionally, a weighting factor is used in the classical model predictive control (MPC). There are some new techniques that tried to avoid using a weighting factor in order to select the optimal switching state. However, in most of them, new optimization problems are added to the method. In this research, a simple discrete optimization technique is proposed for weighting factor and switching state optimization. The proposed method can be applied to the full range of operating points. The simulation and experimental results show the validity of the proposed method.

Model predictive control brings many advantages and it simplifies the control scheme in power electronics. However, tuning the weighting factor is one of the important open discussions on this topic. There are online and offline methods that have been introduced to select the weighting factor. The online methods are preferred because they are more feasible. In this article, an online weighting factor optimization method based on the simulated annealing algorithm is proposed. The energy of the ripple is used as a convergence criterion. The presented method can be converged in a few steps and it does not impose cumbersome computations. Therefore, the optimal voltage will be identical for a range of the weighting factor. Furthermore, the used search algorithm is parameter independent. The proposed method is implemented for an induction motor but it is also applicable for other applications. The proposed method is validated by the experimental tests.

The model predictive control is increasingly used as a high performance control strategy in converters and drives. This paper presents a new sensorless predictive power control method for the active front end rectifiers. Sensorless application of predictive control method faces more challenge compared to conventional control methods because the accurate prediction is dependent on the accurate voltage estimation. The model based estimation method is used in the predictive control technique in this research. This technique creates two problems, i.e., the derivatives of the currents, and the need for accurate values of the parameters of the model. The first problem is diminished by using the proposed filters. On the other hand, the inductance is estimated based on the model reference adaptive system observers to improve the accuracy of the line voltages estimation, although the proposed sensorless control is stable even without the inductance estimation. For a robust parameter estimation, a new adaptive function is achieved via Lyapunov technique. Simulation and experimental results verify the performances of the proposed methods.

In this paper, a new sensorless deadbeat control method is proposed. In the deadbeat method, the desired voltage is calculated via the model of the induction motor and inverter (prediction model). This voltage impels the motor to track the references of the torque and flux in the next control interval. Robustness is an important issue about the deadbeat method. Two new techniques are used to reach a robust speed-independent sensorless deadbeat method. A speed-independent model is sued for prediction. Therefore, the estimated speed will not be used in the prediction model. It will reduce the drift error problem. Also, a new adaptive predictive method is proposed for simultaneous estimation of the stator resistance and speed. Only direct-axis equation is used in the adaptive method. This will reduce the calculation burden. The new adaptive function is achieved via the Lyapunov technique. The stability of the multiple-input multiple-output system for simultaneous adaptation is analyzed for the gain design problem. Simulation and experimental results in wide range of speed are depicted in order to verify the proposed method.

In this paper a novel two-step prediction Finite Control Set Model Predictive Control (FCS-MPC) strategy with weighting factor look up table and divided control interval is presented. The method can be applied for a two-level inverter because of its low torque ripple. The weighting factor in cost function is selected via a look up table which is based on torque ripple minimization. Two-step prediction method is combined with dividing the control interval in two parts: active time for applying the active voltage vectors (AVV) and zero time for applying the zero voltage vector (ZVV). By using this technique the prediction horizon is doubled without serious increase of calculation burden. Simulation and experimental results prove the validity of the proposed method in a wide range of speed.