DocumentCode :
3088954
Title :
A correction PI-like fuzzy logic controller for SRM drives system
Author :
Wang, Shun-Chung ; Lee, Chia-Cheng ; Liu, Yi-Hua ; Chen, Yuan-Lin
Author_Institution :
Dept. of Electr. Eng., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1346
Lastpage :
1351
Abstract :
Based on the rebuilt of control rule base, a modified type PI-like fuzzy logic controller (FLC) with output scaling factor (SF) self-tuning mechanism is proposed in this paper for application in the switched reluctance motor (SRM) drive system. This paper intends to simplify the construction hierarchy and computational complexity of the controller by trimming the number of fuzzy sets in the membership functions (MFs) but still without losing the system performance and stability. For the proposed controller, the output scaling factor can be adjusted continuously by a gain updating factor, whose value is derived from the fuzzy logic reasoning with the error and change of error of the plant as the input variables. Design considerations about the membership function, rule base, and gain tuning strategy are described in detail. Experimental results and comparisons carried out on a four phase 8/6 pole SRM based on the DS1104 control desk are given to show the feasibility and effectiveness of the devised methods.
Keywords :
PI control; fuzzy control; fuzzy set theory; machine control; reluctance motor drives; self-adjusting systems; PI controller; SRM drives; computational complexity; fuzzy logic controller; fuzzy sets; membership functions; scaling factor; self-tuning mechanism; switched reluctance motor; Computational complexity; Control systems; Error correction; Fuzzy logic; Fuzzy sets; Input variables; Reluctance machines; Reluctance motors; Stability; System performance; fuzzy logic controller; scaling factor; switched reluctance motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
Type :
conf
DOI :
10.1109/ICIEA.2010.5514909
Filename :
5514909
Link To Document :
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