Switched Reluctance Machine Research Articles

Motion Trajectory Based Position Control Scheme for Switched Reluctance Machines

Switched reluctance machines (SRMs) are widely used in electric drive areas. However, due to the machine structure, the large stride angle makes it hard to achieve accurate position control for SRMs. In this paper, a position control scheme based on motion trajectory is proposed for SRM position control. In the proposed position control scheme, the SRM control is divided into the accelerating process, the steady operating process and the regenerating process. Development of the proposed position control strategy contains two parts. First, a Fuzzy logic controller is designed for rotor speed control in the accelerating process and steady operating process. Then, an aim speed regulator is proposed for the regenerating process, in which the aim speed is regulated according to the difference between aim position and real‐time rotor position. In the end, both simulation and experimental results are given to show the effectiveness of proposed motion trajectory based position control scheme. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Exploring The Potentials and Drawbacks of Hysteresis Current Controller For SRM: A Case Study Of Wind Energy Conversion System

Switched Reluctance Machines (SRMs) have drawn interest in renewable energy systems because of their special qualities and applicability. This study examines the idea of hysteresis current regulation in a wind energy conversion system with a Switched Reluctance Generator (SRG). The system is modeled in MATLAB/SIMULINK. The model is simulated and analyzed to ascertain the system’s benefits and shortcomings, focusing on reducing torque ripples in SRG. Considering most classical controllers are complicated to construct, the hysteresis current control is straightforward and effective. However, this controller's two primary shortcomings are that it produces a variable switching frequency and increases current ripples at a steady state, both enhancing acoustic noise in SRM. Lastly, the report suggests that improving controller performance should be the primary emphasis of future research in this field.

Model Predictive Control of Switched Reluctance Machines With Online Torque Sharing Function Based on Optimal Flux-Linkage Curve

Model Predictive Control of Switched Reluctance Machines With Online Torque Sharing Function Based on Optimal Flux-Linkage Curve

Multiobjective Control Strategy for Switched Reluctance Machine With Online Efficiency Estimation and Improved Online Instantaneous Torque Estimation

Multiobjective Control Strategy for Switched Reluctance Machine With Online Efficiency Estimation and Improved Online Instantaneous Torque Estimation

Introducing a 12/10 Induction Switched Reluctance Machine (ISRM) for Electric Powertrains

The induction switched reluctance machine (ISRM) is a novel electric machine that integrates the switched reluctance machine (SRM) with rotor inductive conductors to enhance performance in electric vehicle (EV) powertrain applications. In this topology, the rotor conductors act as a magnetic shield, diverting magnetic flux and preventing magnetic field lines from penetrating the rotor body. By engineering this design, short magnetic flux paths are created in both the stator and rotor of the electric machine. Since its recent introduction, the ISRM represents an emerging technology in the early stages of development. Similar to conventional SRMs, the ISRM can take on various topologies with different stator and rotor pole numbers. Minimizing rotor copper loss is a critical consideration in the ISRM design process. This paper examines two distinct ISRM topologies (12/10 and 12/8), and their characteristics are analyzed using the finite element method. Simulation results, including power density, torque density, efficiency, and copper loss, are presented and compared. Finally, the optimal ISRM topology is proposed for hybrid electric powertrains.

Multi-mode operations of double-stator switched reluctance machine for electric vehicle

PurposeThe purpose of this paper is to introduce a double-stator switched reluctance machine (DS-SRM) for electric vehicles (EVs) and to propose multi-mode operations for this machine.Design/methodology/approachAnalysis of flux linkage distributions and torque characteristics using finite element method (FEM). Building a dynamic simulation model based on electromagnetic characteristics, mathematical equations and mechanical motion equations of the DS-SRM drive system. The paper proposes multi-mode operations (inner-stator excitation mode, outer-stator excitation mode and double-stator excitation mode) based on motor working regions. It also conducts simulation and experimental results to verify the effectiveness of the proposed multi-mode operations strategies and control schemes.FindingsThere is almost no electromagnetic coupling between the inner and outer stators due to the specially designed rotor structure and optimized windings polarity configuration. Analysis of flux linkage distributions and torque characteristics verified the independence of inner and outer stators. Proposal of multi-mode operations and corresponding control rules achieved the smooth switching between different modes.Originality/valueThe paper introduced the DS-SRM for EVs and proposed multi-mode operations, along with control rules, to optimize its performance. The specially designed rotor structure, optimized winding polarity configuration, and the proposed multi-mode operations contribute to the originality of the research.

Influence of Stator Winding Reconnection and Bipolar Excitation on the Performance Characteristics of Solid-Rotor Switched Reluctance Machine

Influence of Stator Winding Reconnection and Bipolar Excitation on the Performance Characteristics of Solid-Rotor Switched Reluctance Machine

Dynamic Coding-Based Control Scheme Under Lossy Digital Network: An Optimized Time-Varying Packet Length Approach.

This work proposes a design scheme of the desired controller under the lossy digital network by introducing a dynamic coding and packet-length optimization strategy. First, the weighted try once-discard (WTOD) protocol is introduced to schedule the transmission of sensor nodes. The state-dependent dynamic quantizer and the encoding function with time-varying coding length are designed to improve coding accuracy significantly. Then, a feasible state-feedback controller is designed to attain that the controlled system subject to possible packet dropout is exponentially ultimately bounded in the mean-square sense. Moreover, it is shown that the coding error directly affects the convergent upper bound, which is further minimized by optimizing the coding lengths. Finally, the simulation results are provided via the double-sided linear switched reluctance machine systems.

Smooth Low-Speed Sensorless Control of Switched Reluctance Machine With Heavy Load

For the switched reluctance machine (SRM) with heavy load, the inductance of the conduction phase is nonlinear, which makes the sensorless control method based on the linear region of the phase inductance no longer applicable. Meanwhile, in the case of light or no load, the estimated rotor position will abruptly change at the connection points between neighboring segments, which has an impact on the estimation of the speed. In this paper, a low-speed sensorless control method for the SRM with heavy load is proposed. The idle-phase inductance is modeled over a wide rotor position range for position estimation, and a proportional gain decreasing type second-order generalized integrator based on a frequency-locked loop (SOGI-FLL) is constructed to estimate the speed while performing rotor position filtering. The effectiveness of the proposed method is experimentally verified with a 3-phase 12/8-pole SRM prototype, and the results show that the estimated rotor position and speed are accurate and smooth, which is beneficial to performance improvement of the sensorless control.

A Semi-Analytical Method for Obtaining the Flux-Linkage Characteristics of Mutually-Coupled Switched Reluctance Machine

A Semi-Analytical Method for Obtaining the Flux-Linkage Characteristics of Mutually-Coupled Switched Reluctance Machine

Analytical Model of Inductances of Switched Reluctance Machines Considering Slot Leakage Fluxes and Iron Saturations

Analytical Model of Inductances of Switched Reluctance Machines Considering Slot Leakage Fluxes and Iron Saturations

Topology Optimization of a Switched Reluctance Machine by Electromagnetic-Structural Multiphysics Finite Element Analysis

Topology Optimization of a Switched Reluctance Machine by Electromagnetic-Structural Multiphysics Finite Element Analysis

Improved Design-Oriented Analytical Modelling of Switched Reluctance Machines Based on Fröhlich-Kennelly Equations

Improved Design-Oriented Analytical Modelling of Switched Reluctance Machines Based on Fröhlich-Kennelly Equations

Automatic Offline Measurement of Full-Cycle Unsaturated Inductance for Low-Speed Rotor Position Estimation in Switched Reluctance Machines

Automatic Offline Measurement of Full-Cycle Unsaturated Inductance for Low-Speed Rotor Position Estimation in Switched Reluctance Machines

Experimental Measurement and Analysis of the Self and Mutual Inductances in Two Different Switched Reluctance Machines

This paper aims to present a comparative study among the self and the mutual inductances of a 6x4 switched reluctance machine prototype. Se same study was made with a French origin 8 x 6 machine. The second study confirmed the conclusions on the first one. Mechanical adaptations were made in the test bench to strongly block the rotor of the machines in any previously defined position in order to allow the experimental measurements. At each rotor angular position data were collected for different currents, step by step. The rotor position was also changed step by step from the aligned position to the position of minimum inductance. A data bank was constructed depending on both: rotor angular position and current. A mathematical model taking into account the mutual inductances is presented. Also are presented simulations results using the data got in the test bench. Results of simulations made with and without the mutual inductances values were compared. Surfaces that represent the inductances are presented for both machines. The results analyses show that the mutual inductances may have important influence in the simulation, design and, therefore, in the switched reluctance machines performance.

Proposal of a Test Bench for Switched Reluctance Machine 8/6 for Wind Energy Application

This paper presents a Switched Reluctance Machine (SRM) dynamic performance analysis under various operating conditions. Thus, an SRM 8/6 was designed and built and a new bench was built to drive it, aiming to study the drive techniques and generated voltage control techniques for use in small wind turbine generators. The driving was done through a data acquisition and processing system of high performance and low cost (DSP / FPGA). The experimental results are shown and discussed.

Switched Reluctance Machine Modeling through Multilayer Neural Networks

The work deals with the application of artificial neural networks (ANNs) in the modeling of switched reluctance machines (SRMs). The performance of a SRM is determined by its geometry, materials used and levels of excitation. In this way, this work investigates the influence of the stator and rotor back iron thickness in the performance of SRM. A multilayer neural network is proposed to learn the nonlinear characteristics of the motor. Data of flux linkages and torque are obtained through simulations of finite elements and used for ANN training. The algorithm developed in Octave allows the user to adjust the network parameters. The results presented confirm the feasibility of using ANN to establish a predictive model of SRM performance, thus enabling further investigation in the future.

Comparative Analysis of Dynamic Performance Between Switched Reluctance Motors 6x4 and 8x6

This paper presents a comparative study between the Switched Reluctance Machine (SRM) 8x6 and 6x4 operating as a motor with both 60kW of power. The computer simulation was performed in Matlab™ / Simulink® environment and allowed the machine behavior under various operating conditions to be verified. This work made it possible to evaluate: phase voltage and current, speed, torque and efficiency. Comparative results between the two machines will be presented and discussed.

RETRACTED: Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis

PAPER RETRACTED April 26, 2024, by the general editor of Periodica Polytechnica, because of plagiarism. Plagiarized paper: Touati, Z., Araújo, R. E., Mahmoud, I., Khedher, A. "Analysis of Skewing Effects on Radial Force for Different Topologies of Switched Reluctance machines: 6/4 SRM, 8/6 SRM, and 12/8 SRM", U.Porto Journal of Engineering, 9(1), pp. 55–71, 2023. https://doi.org/10.24840/2183-6493_009-001_001134

NVH Performance Improvement in Switched Reluctance Machines by Simultaneous Radial Force and Torque Ripple Minimizations

NVH Performance Improvement in Switched Reluctance Machines by Simultaneous Radial Force and Torque Ripple Minimizations