New state observer based on Takagi-Sugeno fuzzy controller of induction motor

This paper presents a nonlinear observer-based on Takagi-Sugeno(T-S)fuzzy controller design approach for induction motor (IM). The peculiarity of this paper is the synthesis of a mono- Luenberger observer for highly coupled system. The TS fuzzy model is firstly used to approximate the nonlinear IM systems. Next, based on the differential mean value theorem combined to the sector nonlinearity transformation, a nonlinear fuzzy observer is designed to estimate the system states in order to implement the fuzzy controller. Then, the parallel distributed compensator (PDC) scheme is used to design the fuzzy controller for the overall system. Fuzzy Controller and observer gains are obtained by solving a set of Linear Matrix Inequality (LMI). Finally, illustrative simulation results represented to validate the performance of the proposed approach.