Title :
Experiments in fuzzy logic based control of a magnetic bearing system
Author :
Sung-Kyung Hong ; Langari, R. ; May, Doug
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The paper deals with the control of a levitated object with position dependent nonlinearity. The authors applied fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. They represented the nonlinear magnetic bearing by the Takagi-Sugeno-Kang (TSK) fuzzy model, in which the nonlinear global model is approximated by a set of linear local models. Then a model-based fuzzy controller, the so-called parallel distributed compensation (PDC), is employed. Experimental results demonstrate that the controller provides excellent compensation for unstable/nonlinear characteristics of the magnetic bearing system and maximizes the controller´s valid region of operation, while guaranteeing pre-specified transient performance
Keywords :
compensation; fuzzy control; fuzzy logic; machine bearings; magnetic levitation; nonlinear control systems; stability; Takagi-Sugeno-Kang fuzzy model; clearance; fuzzy logic based control; fuzzy modeling; guaranteed pre-specified transient performance; levitated object control; linear local models; maximized valid operation region; model-based fuzzy controller; nonlinear characteristics compensation; nonlinear global model; nonlinear magnetic bearing system; parallel distributed compensation; position dependent nonlinearity; uniform desired performance; unstable characteristics compensation; Control systems; Force control; Fuzzy control; Fuzzy logic; Intelligent robots; Magnetic forces; Magnetic levitation; Nonlinear control systems; Open loop systems; Sliding mode control;
Conference_Titel :
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location :
Syracuse, NY
Print_ISBN :
0-7803-4078-7
DOI :
10.1109/NAFIPS.1997.624017
