Multi-mode Drive Control System of Switched Reluctance Motor Based on a Novel $\mathrm{N}+2$ Power Converter

2021 ◽  
Author(s):  
Zhiyong Kang ◽  
Yanfang Hu ◽  
Debo Sun
Keyword(s):  
Control System ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Switched Reluctance ◽  
Drive Control ◽  
Reluctance Motor ◽  
Multi Mode

Design of Switched Reluctance Motor Speed Control System Base on DSP

2013 ◽  
Vol 462-463 ◽  
pp. 727-734
Author(s):  
Xiao Li ◽  
Chao Hui Zhang ◽  
Ying Jie Fan
Keyword(s):  
Control System ◽  
High Efficiency ◽  
Low Cost ◽  
Speed Control ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Motor Speed ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Speed Control System

Switched Reluctance Motor has become one of hot topics of the international transmission for its simple structure,wide speed range and low cost, etc. In this thesis, based on TI's 32-bit DSP (TMS320F240) and following the principles of structure matching, high efficiency, easy to control, switched reluctance motor speed control system is designed using a minimum program of the main switching device. The parts of design include power converter, controller and software components.

A SHRFNN Control for a Switched Reluctance Motor Drive

2012 ◽  
Vol 482-484 ◽  
pp. 245-251
Author(s):  
Chih Hong Lin ◽  
Ming Kuan Lin ◽  
Chih Peng Lin
Keyword(s):  
Control System ◽  
Dynamic Behavior ◽  
Speed Control ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Drive System ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Fuzzy Neural ◽  
Unmodeled Dynamic

Due to unmodeled dynamic behavior and uncertainties exist in the applications of switched reluctance motor (SRM) drive which seriously affected the drive performance, a supervisoy hybrid recurrent fuzzy neural network (SHRFNN) speed control system that combined supervisor control, recurrent RFNN and compensated control is proposed to increase the robustness of the SRM drive system. First, the asymmetrical structure of the power converter is applied to SRM drive. In order to process uncertainties, a SHRFNN control system is proposed to control SRM drive system. With proposed SHRFNN control system, the SRM drive possesses the advantages of good transient control performance and robustness to unmodeled dynamic behavior and uncertainties for speed control. The effectiveness of the proposed control scheme is verified by experimental results.

scholarly journals Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives

2020 ◽  
Author(s):  
Reyad Abdelfadil ◽  
László Számel
Keyword(s):  
Electric Vehicles ◽  
High Performance ◽  
Direct Torque Control ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Torque Control ◽  
Switching Frequency ◽  
Suggested Approach ◽  
Switched Reluctance ◽  
Reluctance Motor

The electrical drive systems utilized in Electric Vehicles (EVs) applications must be reliable and high performance. To providing these specifications, it is essential to design high-efficiency electric motors and develop high-performance controllers. This study introduces direct torque control of Switched Reluctance Motor (SRM) for electric vehicle applications using Model Predictive Control (MPC) technique. The direct torque control using MPC is proposed to maintain the motor torque and motor speed to tracking desired signals with a satisfactory response. In this study, the MPC algorithm was programmed in C- language, and the simulation tests were performed using a non-linear model of 6/4 - 60 kW SRM that is fed with the symmetrical converter. The proposed controller was tested under different load conditions to verify the robustness of the controller, as well as at variable speeds to investigate the tracking performance. Thanks to the proposed method, the SRM torque ripples, stator copper losses, and average switching frequency of the power converter can reduce effectively due to applying a cost function that combines multiple objectives. The obtained outcomes show the effectiveness of the suggested approach compared to conventional direct torque control techniques.

Development of a digital control system for a belt-driven starter generator segmented switched reluctance motor for hybrid electric vehicles

2020 ◽  
Vol 234 (9) ◽  
pp. 975-984
Author(s):  
Long Chen ◽  
Haoxiang Wang ◽  
Xiaodong Sun ◽  
Yingfeng Cai ◽  
Ke Li ◽  
...  
Keyword(s):  
Control System ◽  
Digital Control ◽  
Closed Loop ◽  
Switched Reluctance Motor ◽  
Closed Loop Control ◽  
Digital Control System ◽  
Loop Control ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Starter Generator

A novel four-phase 16/10 belt-driven starter generator segmented switched reluctance motor has been proposed in a previous work to reduce torque ripple and increase the fault tolerance ability. Based on the previous research, the segmented switched reluctance motor digital control system is designed and presented. The digital control system including a power converter, detection circuits, and protection circuits is introduced in detail. For detection circuits, the half-detection method is employed to decrease the cost of the system. In addition, based on MicroAutoBox DS1401, a rapid control prototype platform is established. With this software system, it is easy to transfer control models and realize real-time control directly. Then, the speed closed closed-loop control for the segmented switched reluctance motor is applied to verify the proposed system. It contains current chopper control at a low speed and angle position control at a high speed. The simulation results are given, including the flux, current, torque, and efficiency range over the entire speed range of the segmented switched reluctance motor. Finally, the experimental results are presented to verify the simulation results and the effectiveness of the system. It can be found that the simulation and experimental results are consistent and acceptable, which means that the proposed digital system can operate naturally and accurately under speed closed loop control. Hence, the proposed digital system has high compatibility and practicability.

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