Paper Info
Title
An adaptive sliding self-organizing fuzzy controller for switched reluctance motor drive systems
Abstract
This paper presents an adaptive sliding self-organizing fuzzy controller (ASSOFC) designed using fuzzy theory and a self-organizing algorithm. Composed of a conventional fuzzy controller (FC) and self-organizing algorithm, the ASSOFC adopts the sliding surface signal as an input, uses the algorithm to adjust the central position of the output consequent membership function of the FC, and, by fuzzy control, regulates the learning rate and fuzzy rules in real time to improve control performance. The ASSOFC is embedded into the direct torque control system of a switched reluctance motor (SRM) as a speed controller, and the performance and feasibility of the controller were validated. The experimental results indicate that the root mean square error values for the ASSOFC at various speed ranges are lower than those for a conventional FC, indicating that the proposed controller provides a superior speed response for SRMs.
Year
DOI
Venue
2016
10.1109/SMC.2016.7844271
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Keywords
Field
DocType
switched reluctance motor,fuzzy control theory,self-organizing fuzzy controller
Switched reluctance motor,Control theory,Control theory,Computer science,Fuzzy logic,Control system,Fuzzy control system,Membership function,Open-loop controller,Electronic speed control
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-5090-1898-7
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Shun-Yuan Wang194.86
Chwan-Lu Tseng212124.47
Foun-Yuan Liu322.09
Jen-Hsiang Chou464.40
Ying-Chung Hong500.34
Ching-Yin Lee623.18