Journal of Electrical Engineering and Electronic TechnologyISSN: 2325-9833

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Research Article, J Electr Eng Electron Technol Vol: 5 Issue: 1

Controller Design for Nonlinear Systems using Takagi Sugeno Model: Closed Loop-FOC of IM Motor Application

Allag M1*, Allag A1, Abrar A1, Zein I2 and Ayad MY2
1LGEB and LMSE Laboratory, Department of Electrical Engineering, University of Biskra, BP 145, Biskra, Algeria
2FCLabR&D, Industrial Hybrid Vehicle Applications, France
Corresponding author : Allag M
Allag M, LGEB and LMSE Laboratory, Department of Electrical Engineering, University of Biskra, BP 145, Biskra, Algeria
E-mail: abdel_allag@yahoo.fr
Received: March 04, 2016 Accepted: April 14, 2016 Published: April 19, 2016
Citation:Allag M, Allag A, Abrar A, Zein I, Ayad MY (2016) Controller Design for Nonlinear Systems using Takagi Sugeno Model: Closed Loop-FOC of IM Motor Application. J Electr Eng Electron Technol 5:1.

Abstract

This note, we investigate the problem of state feedback controllers for a class of Takagi-Sugeno (TS) Lipschitz nonlinear systems. A simple systematic and useful synthesis method is proposed which based on the use of the Differential Mean Value Theorem (DMVT) and convex theory. The proposed design approach is based on the mean value theorem (MVT) to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as LPV systems. Using the Lyapunov theory, stability conditions are obtained and expressed in term of Linear Matrix Inequalities (LMI). The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for Field Oriented Control of Induction Motor (FOC-IM) drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.

Keywords: TS fuzzy systems; Sector nonlinearity; Nonlinear controller; LMI approach; Differential Mean value theorem (DMVT); FOC Control; LPV

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