OPTIMAL FUZZY CONTROL OF NONLINEAR SYSTEMS WITH APPLICATION TO AN UNDERACTUATED ROBOT
Zhen Cai and Chun-Yi Su
Department of Mechanical and Industrial Engineering Concordia University 1455 de Maisonneuve Blvd. W. Montreal, Quebec, H3G 2M2 Canada Fax: (514) 848-3175; E-mail: cysu@me.concordia.ca
To deal with complex nonlinear systems such as underactuated mechanisms, in this paper a global stable as well as optimal fuzzy controller is presented to achieve output tracking control of nonlinear systems by combining the linear optimal control theory and linear regulator theory with the Takagi-Sugeno fuzzy methodology. The stability of the entire closed-loop fuzzy system is ensured by the Lyapunov stability analysis. This paper also includes a hardware description and the real-time results for the application to a benchmark underactuated robot: Pendubot.
Keywords: Fuzzy system, nonlinear system, trajectory tracking, linear optimal control, linear regulator, global optimization
Session slot T-Fr-A04: Industrial Applications of Fuzzy and Neural Systems/Area code 3e : Fuzzy and Neural Systems

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