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

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.