DocumentCode :
3226050
Title :
Research on optimization control of SRM system based on APSO algorithm
Author :
Zhao Huang ; Lingzhi Yi ; Junli Wan
Author_Institution :
Coll. of Electr. Eng. & New Energy, Three Gorges Univ., Yichang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4953
Lastpage :
4958
Abstract :
Actual characteristics of Switched Reluctance Motor (SRM) are simply introduced and a novel parameters optimization strategy of combining APSO algorithm with traditional PI controller is proposed considering specific SRM speed regulation requirements, and the application in different working environments is analyzed in detail. Through choosing an appropriate objective function as ITAE criteria, the best solution will be obtained by iteration computation processes. Simulation experiments have been implemented and the results firstly show that the PI controller parameters can be optimized automatically on the basis of APSO algorithm instead of classical cut-and-try work; then by employing the developed control strategy, more excellent speed regulation performance of the SRM system can be realized with smooth amplitude, rapid response, and low fluctuation content.
Keywords :
PI control; angular velocity control; iterative methods; machine control; particle swarm optimisation; reluctance motors; APSO algorithm; ITAE criteria; PI controller; SRM speed regulation requirements; SRM system optimization control; adaptive particle swarm optimization; iteration computation processes; parameter optimization strategy; switched reluctance motor; Control systems; Convergence; Mathematical model; Reluctance motors; Sociology; Windings; Adaptive Particle Swarm Optimization; Speed Regulation Control; Switched Reluctance Motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162811
Filename :
7162811
Link To Document :
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