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
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