U.P.B. Sci. Bull., Series C, Vol. 81, Iss. 1, 2019 ISSN 2286-3540 DESIGN OF ROBUST CONTROL USING FUZZY LOGIC CONTROLLER FOR DOUBLY-FED INDUCTION MOTOR DRIVES Mohamed Yazid ZIDANI 1 , Lamia YOUB 2 , Sebti BELKACEM 3 , Farid NACERI 4 This paper presents a fuzzy logic controller destined to the doubly-fed induction motor (DFIM) speed controlling. It solves the problems associated with the conventional IP (Integral Proportional) controller. This fuzzy logic controller is based on the decoupling control to enhance robustness under different operating conditions such as load torque and in the presence of parameters variation. The simulation results for various scenarios show the high performances of the proposed control in terms of piloting effectiveness, precision, rapidity and stability for the high powers DFIM operating at variable speeds. Keywords: Fuzzy logic controller, IP controller, DFIM, Decoupling Control 1. Introduction The doubly fed induction motor (DFIM) with wounded rotor have become increasingly used in industry compared to DC motors and synchronous motors. This type of motor has been neglected by researchers for several years because of its disadvantages, namely its high cost, its volume, the presence of brushes and the use of converters. However, it has come back to the forefront because of the progression of vector control and the accessibility to its rotor [3]. The operation of a variable speed motor needs some control techniques in order to obtain a high performance system. These performance criteria are tracking accuracy, control accuracy (rise time, response time, overtaking and permanence), robustness with respect to disturbances (load, moment of inertia) and sensitivity to parameter variation [13], [14], [15], [16]. Among the control techniques currently applied to asynchronous machines, we can find scalar control, vector control, direct torque control and nonlinear control. Indeed, the scalar control is the first that has been introduced in the industry. It is widely used 1 PhD Student., Faculty of Technology, LSTE Laboratory, University of Mostefa Ben Boulaïd Batna 2, Algeria, e-mail: zidanikarim212@yahoo.fr 2 PhD Eng., Faculty of Technology, LSTE Laboratory, University of Mostefa Ben Boulaïd Batna 2, Algeria, e-mail: youblamia@yahoo.fr 3 PhD Eng., Faculty of Technology, LSTE Laboratory, University of Mostefa Ben Boulaïd Batna 2, Algeria, e-mail: belkacem_sebti@yahoo.fr 4 Prof., Faculty of Technology, LSTE Laboratory, University of Mostefa Ben Boulaïd Batna 2, Algeria, e-mail: nacerifarid@yahoo.fr