New State Observer Based On Takai-Sugeno Fuzzy Controller of Induction Motor

Mohamed Yacine Hammoudi (1) , Mohamed Benbouzid (2) , N Rizoug (3) , A Allag (1)

1 LMSE - Laboratoire de Modélisation des Systèmes Energétiques
2 LBMS - Laboratoire brestois de mécanique et des systèmes
3 ESTACA - École Supérieure des Techniques Aéronautiques et de Construction Automobile

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.

Mots clés: Observer design; Differential mean value theo-rem; Sector nonlinearity transformation; Linear matrix inequal-ities (LMI); Induction motor; Parallel distributed compensator; T-S Fuzzy Model

Domaines: Energie électrique

Mohamed Yacine Hammoudi, Mohamed Benbouzid, N Rizoug, A Allag. New State Observer Based On Takai-Sugeno Fuzzy Controller of Induction Motor. 2015 IEEE ICSC, Apr 2015, Sousse, Tunisia. pp.145-150. ⟨hal-01161736⟩