NONLINEAR CONTROL BASED ON TS FUZZY WITH SYSTEMATIC METHOD BASED ON TAYLOR SERIES

摘要

This paper deal with fuzzy modeling, PDC (parallel distributed compensation) control and fuzzy observer design for nonlinear CSTR using TS fuzzy local linear models which are obtained by systematic method based on Taylor series and constrained optimization problem, then the TS fuzzy model is used to design an improved PDC, this improvement is done by incorporating a fuzzy pre-compensator, the new improved controller can guarantee both global stability and it keeps the same performances of reference tracking over the entire operating range. This paper presents fuzzy observer able to estimate the state vector which can be used in control and diagnosis. The LMIs are used in the design procedure and stability discussion of both PDC controller and fuzzy observer. The same membership functions are employed for modeling, PDC control and state observer design.