AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
Synthesis of switching H2and H∞output-feedback controllers: a fuzzy supervisor approach
ACC'09 Proceedings of the 2009 conference on American Control Conference
Issues concerning the analysis and implementation of a class of fuzzy controllers
Fuzzy Sets and Systems
Adaptive fuzzy logic based control of induction motors
Control and Intelligent Systems
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Implementation of fuzzy logic controller for parallel hybrid electric vehicle
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
| Hi-index | 0.00 |
This paper presents a new approach to indirect vector control of induction motors. Two nonlinear controllers, one of sliding mode type and the other PI-fuzzy logic-based, define a new control structure. Both controllers are combined by means of an expert system based on Takagi-Sugeno fuzzy reasoning. The sliding-mode controller acts mainly in a transient state while the PI-like fuzzy controller acts in the steady state. The new structure embodies the advantages that both nonlinear controllers offer: sliding-mode controllers increasing system stability limits, and PI-like fuzzy logic based controllers reducing the chattering in permanent state. The scheme has been implemented and experimentally validated