Title :
Analysis and experimental verification of fault-tolerant performance of a mutually coupled dual-channel SRM drive under open-circuits
Author :
Wen Ding ; Yunpeng Liu ; Qiji Ze ; Yanfang Hu ; Xing Liu
Author_Institution :
Xi´an Jiaotong Univ., Xi´an, China
Abstract :
The mutually coupled dual-channel switched reluctance machine (DCSRM) is a kind of special machine, which inherently offers high fault-tolerant feature. The purpose of this paper is to analyze and investigate the fault-tolerant performance of the DCSRM at open-circuits. Firstly, the faulty mathematic model of the DCSRM under open-circuit fault is developed with combination of a state and a fault functions. The simulation model of the DCSRM drive based on Matlab/simulink is established for dynamic analysis. To achieve fault-tolerant operation, a speed closed-loop control is performed to maintain the speed as the normal operation. The dynamic performances of the DCSRM under normal and open-circuit faults are predicted. Finally, an experimental setup for a 12/8 DCSRM drive is built for verification. The experimental results at normal, various open-circuit faults and sudden changes of load torque operations are presented to verify the analytical and simulation results and fault-tolerant control strategy of the DCSRM drive system.
Keywords :
closed loop systems; fault tolerance; machine control; reluctance motor drives; DCSRM drive; Matlab; Simulink; dual-channel SRM drive; dual-channel switched reluctance machine; dynamic analysis; fault functions; fault-tolerant control strategy; fault-tolerant operation; fault-tolerant performance; faulty mathematic model; load torque operations; open-circuit fault; speed closed-loop control; Circuit faults; Couplings; Fault tolerance; Fault tolerant systems; Mathematical model; Reluctance motors; dual-channel switched reluctance machine; fault-tolerant; mathematic model; open-circuit;
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International Conference on
Conference_Location :
Monte-Carlo
Print_ISBN :
978-1-4799-3786-8
DOI :
10.1109/EVER.2014.6844128