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Adaptive fuzzy logic controller with rule-based changeable universe of discourse for a nonlinear MIMO system

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3 Author(s)
Yi Wang ; Sch. of Comput. & Inf. Sci., Southwest China Normal Univ., Chongqing, China ; Huiwen Deng ; Zheng Chen

The accurate input-output universe of discourse (UOD) on which membership functions are defined is hard to acquire, especially for nonlinear multi-input and multi-output (MIMO) systems, and control accuracy will reduce greatly in the steady state due to limited fuzzy control rules. This paper presents a design scheme for the adaptive fuzzy logic controllers to control a MIMO system with online changeable input-output UOD of the controller, which could solve two problems mentioned above to a great extent. We obtain fuzzy inference rules that are defined by the error and change of error to describe the variation law of the input-output UOD according to the current trend of the controlled process, so the proper widths of the UOD can be derived from the fuzzy inference rules dynamically in real-time. Simulation results for the nonlinear MIMO system show the effectiveness of the proposed fuzzy logic controller.

Published in:

Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on

Date of Conference:

8-10 Sept. 2005