With the emergence of large-scale, high-frequency modular converters, high-performance distributed control systems (DCSs) are receiving increasing attention. These systems demand both high-data-rate communication and low synchronization error (SE). Xilinx Aurora, an interface Intellectual Property (IP), supports multi-gigabit data rates but lacks timing distribution capabilities. This paper proposes Synchronous Aurora (Sync-A), an enhanced Aurora-like IP that implements White Rabbit (WR)-based synchronization techniques on top of the existing Xilinx Aurora IP, achieving both multi-gigabit data rates and sub-nanosecond SE timing distribution. The operating principles of WR and the implementation of WR-based synchronization techniques in the Sync-A IP are explained in detail. An overview of the proposed IP is presented to highlight its ease of use. Experimental results validate its performance.

This study examines the critical role of precise rotor position estimation in field-oriented control (FOC) of current source inverter (CSI)-fed Permanent Magnet Synchronous Motor (PMSM) drives for submersible pump applications. Despite advancements, challenges such as inverter nonlinearity and parameter variations introduce significant errors in rotor position estimation under dynamic and steady state conditions. This adversely affects the reliability and efficiency of the drive system. The proposed adaptive PLL aims to optimize PMSM acceleration by dynamically adjusting PLL bandwidth, effectively mitigating estimation errors caused by various non-ideal factors in steady state condition. Simulation and experimental results validate the effectiveness of the proposed approach.

The type of carrier signal waveform plays a pivotal role in the dynamic response of the PWM-controlled DC-DC converters. To fully understand the nonlinear behavior of DC-DC converters, this paper aims to dissect the bifurcation process in a PWM-controlled buck converter under various modulations. To this end, various carrier signal waveforms, including single-edge modulation, symmetrical and asymmetrical dual-edge modulations, and various phase-shifted PWMs are considered. Next, using discrete-time modeling, the dynamic analysis of the system at various phase shifts is performed. Inspection of the bifurcation diagram and eigenvalue trajectories, obtained by shifting the gate signal within the switching period, reveals that the converter experiences period-1, period-2, and period-4 orbits within one switching period. The results of this analysis are validated through simulation studies and experiments.

This paper introduces a dynamic lumped circuit model for a Double-Stator Switched Reluctance Motor (DSSRM). The inductance dependency on rotor position is modeled using a truncated Fourier series, with the coefficients derived from measurements taken at aligned, unaligned, and midway rotor positions. This approach allows for precise modeling of the inductance variation with rotor position, enhancing the accuracy and performance of the DSSRM simulation, and the key advantage of the proposed model is its ability to predict the entire dynamic performance of the drive system while requiring minimal measurements. The model’s accuracy is validated by comparing its results with those obtained from Finite Element Analysis, demonstrating the reliability and effectiveness of the proposed modeling technique.

In an islanded microgrid, the main objective of a distribution operator is to manage the generation load balance based on the available resources. With the rapid integration of renewable energy and low inertia-based resources in today's power grid, it is becoming challenging to achieve optimal operation by just using conventional control techniques. This work aims to create a fully distributed control system that can efficiently manage the functioning of a microgrid (MG). The MG system should be able to maintain nominal frequency and voltage as well as synchronize between the inverters and power grid autonomously. To achieve this, we implement a hybrid control architecture employing distributed implementation with a hierarchy via a Multi-Agent System (MAS). Additionally, we propose a secondary control for frequency restoration and a control algorithm for autonomous load connection/disconnection. To develop the microgrid model under study MATLAB Simulink was used, and the control architecture was validated using several test cases through controller-in-the-loop hardware testing (C-HIL) using Raspberry Pi as an external controller.

Switched-mode power converters are being widely used in power conversion systems. Due to the presence of highly nonlinear dynamics, a rich group of bifurcation and chaotic behaviors have been found in this family of converters. In most cases, these abnormal system behaviors can potentially cause instability issue for the converter operation. This paper presents the mathematical and experimental study of the period-doubling bifurcation in peak current-controlled boost converter. This study reveals the evolution of subharmonic orbits within the converter system under variation of supply voltage. The discrete-time model of the converter and computation results of the eigenvalues for the corresponding periodic orbits are demonstrated and discussed. Moreover, a brief guideline for establishing the experimental settings is also covered. The prototype converter has been built and tested, and the obtained results confirm the validity of the theoretical analysis.

In this paper, the DC-link voltage ripple is analyzed for an inverter without electrolytic capacitor. As the capacitance density of non-electrolytic capacitors are significantly lower than electrolytic capacitors, for a non-electrolytic capacitor based three-phase inverter, the DC-link voltage ripple is much higher than traditional inverter, which will cause more THD on load current and originates voltage stability problems when cascaded with the front-end converter. To avoid these disadvantages, the DC-link voltage ripple must be fully analyzed for a non-electrolytic DC-link capacitor three-phase inverter. This paper presents the voltage ripple analysis of the voltage source inverter under the modulation methods of SPWM and SVPWM. The results show that the DC-link voltage ripple has special patterns which relate to switching frequency, modulation ratio, output current amplitude, load power factor, and reference voltage angle. According to these analysis, the minimized DC-link capacitance can be selected to satisfy voltage ripple requirement.

This paper explores the nonlinear phenomena (bifurcation and chaos) exhibited in the hysteresis-controlled switched reluctance motor (SRM) drive, under light load torque and low speed condition. The magnetization characteristics of the machine, modelling of the drive system, and analysis of subharmonic and chaotic behaviors, are presented. The simulation results of the time-domain waveforms, FFT analysis, phase portraits, and bifurcation diagrams are also demonstrated and discussed, which reveal strange nonlinear behaviors within this type of motor drive system.

Electric machines are optimized to the extent of their magnetic configuration and manufacturability. Thanks to recent advances in development of composite material (SMC), 3-D printing, and programmable magnets, manufacturing capabilities have changed dramatically. Introducing of cloud computing and impressive computational resources has opened new opportunities in virtual prototyping in a multi-physics environment. These enabling technologies present a potential for a transformative approach in optimal design, evaluation, and manufacturing of the next generation of electric machines and adjustable speed drives. This paper proposes a new design approach applied to optimal design of synchronous reluctance machines. The proposed technique removes all the conventional constraints posed by traditional designs of classic magnetic configurations and only keeps a minimum airgap length and shaft diameter as the boundary conditions. The fabric of the rotor is based on a mesh whose elements can be air or SMC. A genetic algorithm is used for optimal placement of rotor configuration.

this paper provides an in-depth analysis of distribution of the electromagnetic forces in separately excited dc and ac squirrel cage induction machines. Investigation of local forces acting on the stator and rotor core and windings will shed light on inherent similarities in the mechanism of force generation in two families of electrical machines. This paper also provides a physically insightful explanation of the impact of armature and field currents (quadrature and direct component of current in induction machine) on radial and tangential components of the magnetic forces.

This paper presents an integrated multi-port converter(IMPC) for Switched Reluctance Machine (SRM). The conventional drive for SRM is based on asymmetrical H-bridge which needs a large capacitor on the dc bus to absorb the transient energy caused by turn-off process. The proposed topology is a multi-port converter which employs the capacitor as an extra port to the dc bus and is integrated based on switch multiplexing. With such converter, the capacitance can be reduced significantly by increasing the capacitor voltage ripple. In addition, the current commutation process can be accelerated with high voltage of capacitor based on such topology. The requirement of capacitance in asymmetrical H-bridge and the proposed topology is analyzed in detail and the corresponding control method for the proposed converter is introduced briefly as well. Simulation results in Matlab/Simulink verified the feasibility of the proposed topology and its superior performance compared with asymmetrical H-bridge structure.

Acoustic noise has been reported as a major problem in Switched Reluctance Machines (SRMs) for noise sensitive applications. This issue has drawn significant attention over the past decades. In this paper, a numerical method used to predict vibration with high computational efficiency is introduced. The accuracy of this method is demonstrated by the comparison of the calculated results and the multiphysics Finite Element Analysis (FEA) simulation. Finally, based on this method, a fast process for the optimal design of the stator frame is proposed to reduce the vibration and acoustic noise in SRMs.

Understanding of faults and their impacts on the performance of Switched Reluctance Motor (SRM) is essential for fault detection and post fault control strategy development. In this paper, an 8/6 SRM is modeled and analyzed under various short circuit faults and operational conditions. Simulation and experimental investigation of the effects of fault in both transient and steady state is presented with additional attention to potential signatures for development of fault detection mechanism.

This paper presents a fast and precise acoustic noise imaging technique for switched reluctance machines (SRM). This method is based on distribution of radial vibration in the stator frame of the SRM. Radial vibration of the stator frame, at a network of probing points, is computed using input phase current and phase voltage waveforms. Sequentially, the acceleration of the probing network will be expanded to predict full acceleration on the stator frame surface, using which acoustic noise emission caused by the stator can be calculated using Boundary Element Method (BEM).

This paper presents an optimal scheduling strategy that decouples the dynamic formulation for dispatching energy storage units from dispatching ac grid power exchange in microgrids. This method takes into account the time-of-use price of electricity. It also considers initial stored energy as a decision variable in the optimization process instead of a fixed parameter. Case studies and results have been presented to show the effectiveness of the proposed strategies.

This paper addresses various aspects of the switched reluctance (SR) machine based starter/alternator (S/A) system for a more electric car. Inherent simplicity of the machine geometry and control, offering high efficiency and a very long constant power speed ratio along with a rugged structure and safe operation are among the most salient attributes of SRM drive. In addition, due to the absence of magnetic sources on the rotor, a robust performance in the presence of high temperatures is expected. We also introduce a novel method in active damping of the engine torque pulsation by controlling the braking torque of the SRG. This will reduce the engine shaft pulsation thereby enhancing the durability of the system while presenting a quiet engine/generator combination. Furthermore, to enhance the compactness of the system components a novel method for control of the phase current is presented.