Title :
Speed control of induction motors using a novel fuzzy-sliding mode structure
Author :
Barrero, F. ; Gonzalez, Adriana ; Torralba, A. ; Galvan, E. ; Franquelo, L.G.
Author_Institution :
Dept. de Ingenieria Electron., Escuela Superior de Ingenieros, Seville, Spain
Abstract :
This paper presents a new approach to indirect vector control of induction motor. Two nonlinear controllers, one sliding mode and the other PI-fuzzy logic based, define a new control structure. Both controllers are combined by means of an expert system based on Tanaka and Sugeno fuzzy reasoning. The sliding mode controller acts mainly in the transient state while the PI-like fuzzy controller acts in the steady state. The new structure is assumed to embody the control advantages that both nonlinear controllers offer: sliding mode controllers present robustness, increasing system stability limits; and PI-like fuzzy logic based controllers have been used to improve steady state features, specially in nonlinear systems. The scheme has been implemented and experimentally validated
Keywords :
control system synthesis; expert systems; fuzzy control; induction motors; machine testing; machine theory; machine vector control; nonlinear control systems; power engineering computing; robust control; two-term control; variable structure systems; velocity control; control design; control performance; expert system; fuzzy reasoning; fuzzy-sliding mode structure; indirect vector control; induction motor; nonlinear controllers; robustness; speed control; stability limits; steady state; transient state; Control systems; Expert systems; Induction motors; Logic; Machine vector control; Nonlinear control systems; Robust stability; Sliding mode control; Steady-state; Velocity control;
Conference_Titel :
Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
0-7803-5735-3
DOI :
10.1109/IECON.1999.819357
