DocumentCode :
3222601
Title :
A switching fuzzy controller for induction motor with self-tuning capability
Author :
Barrero, F. ; Torralba, A. ; Galván, E. ; Franquelo, L.G.
Author_Institution :
E.T. Superior de Ingenieros, Seville Univ., Spain
Volume :
2
fYear :
1995
fDate :
6-10 Nov 1995
Firstpage :
1474
Abstract :
Fuzzy-logic based controllers have been recently proposed to implement vector control methods in induction motors. This paper presents a new switching self-tuning type of fuzzy controller aimed at obtaining a satisfactory performance (rise time and overshoot) in the motor response. Two fuzzy controllers, a PI-like fuzzy controller and a PD-like fuzzy controller are applied in different regions of the control space. Their responses are combined by another fuzzy inference machine which divides the control surface in a fuzzy way. Also a simple adaptive fuzzy system have been used to tune the proposed controller to provide a simple way to redefine the controller and obtain a better control action. Simulation results show that this scheme has the ability to improve the transient and steady state performance of the controlled system from the simple PD-like and PI-like fuzzy controllers. The scheme has been implemented using a DSP and the simulation results have been experimentally validated
Keywords :
adaptive control; control system analysis; control system synthesis; digital control; expert systems; fuzzy control; induction motors; inference mechanisms; machine control; machine theory; power engineering computing; self-adjusting systems; switching; transient analysis; two-term control; PD-like fuzzy controller; PI-like fuzzy controller; computer control; control design; control simulation; control space; fuzzy expert system; fuzzy inference machine; induction motor; motor response; overshoot; rise time; self-tuning capability; steady state performance; switching fuzzy controller; transient performance; vector control methods; Adaptive control; Adaptive systems; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Induction motors; Machine vector control; Programmable control; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
Type :
conf
DOI :
10.1109/IECON.1995.484168
Filename :
484168
Link To Document :
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