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A fuzzy iterative learning controller design for point-to-point control of nonlinear system

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2 Author(s)
Liping Zhang ; Coll. of Electr. Eng. & Autom., Fuzhou Univ., China ; Fuwen Yang

The fuzzy logic control approach is introduced to design the iterative learning controller, which deals with point-to-point problem of nonlinear system. First, the nonlinear system is represented by a Takagi-Sugeno (TS) type fuzzy model. Second, based on the fuzzy model, a fuzzy iterative learning controller is developed to achieve positioning error convergence via the so-called parallel distributed compensation (PDC) scheme. The approach can sufficiently utilize clear concepts and simple methods of linear multivariable control theory in designing nonlinear iterative learning control system. A simulation example is given to illustrate the design procedures and the effectiveness of the fuzzy iterative learning scheme.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:2 )

Date of Conference:

15-19 June 2004