System Identification of Switched Reluctance Motor (SRM) Using Black Box Method for Electric Vehicle Speed Control System

2019 ◽  
Author(s):  
Muhammad Rizalul Wahid ◽  
Endra Joelianto ◽  
Nadana Ayzah Azis
Keyword(s):  
Control System ◽  
System Identification ◽  
Electric Vehicle ◽  
Speed Control ◽  
Switched Reluctance Motor ◽  
Black Box ◽  
Vehicle Speed ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Box Method

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.

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