Inverse Fuzzy Model Control for a Speed control Induction Motor Based dSPACE Implementation S. AMAMRA *,** , L. BARAZANE * , M.S. BOUCHERIT * and A. CHERIFI ** *Ecole Nationale Polytechnique, Département de Génie Electrique , El Harrach, Algiers – Algeria **Université de Versailles Saint-Quentin-En-Yvelines, IUT Mantes En Yvelines, Département Génie Industriel et Maintenance, 7 rue Jean Hoet, 78200 Mantes la Jolie, French. sidali.amamra@gmail.com, lbarazane@yahoo.fr, ms_Boucherit@yahoo.fr and abderrezzak.cherifi@uvsq.fr Abstract - In this paper, a new control strategy for a three-phase induction motor is designed and implemented. In order to obtain high performance speed response, field oriented control techniques are usually used to control the torque and flux separately as in direct current machines. The application of fuzzy logic in modeling of uncertainly dynamical systems is in progress; however fuzzy modeling is one of the major topics in the field of modeling of dynamical systems. The authors has made an effort to develop an inverse fuzzy model of the field oriented control applied to the induction motor to successfully improve the classical approach of the field oriented control. Experimental results based on the use of DS1103 DSP of DSPACE verify the robustness of the proposed control. Keywords: Fuzzy Modeling, Inverse fuzzy model, Induction Motor Control, Vector Control, dSPACE implementation. I. Introduction Vector control has been widely used for the high-performance drive of the induction motor. As in dc motor, torque control of the induction motor is achieved by controlling torque and flux components independently. Vector control techniques can be separated into two categories : direct and indirect flux vector orientation control schemes. For direct control methods, the flux vector is obtained by using stator terminal quantities, while indirect methods use the machine slip frequency to achieve field orientation. The overall performance of field-oriented-controlled induction motor drive systems is directly related to the performance of current control. Therefore, decoupling the control scheme is required by compensation of the coupling effect between q- axis and d-axis current dynamics [1,2 and 3]. All high-performance vector-controlled induction motor drives require accurate rotational speed or rotational position information for feedback control. This information is provided by an incremental encoder, which is the most common positioning transducer used today in industrial applications. The use of this sensor implies more electronics, higher cost, lower reliability, difficulty in mounting in some cases such as motor drives in harsh environment and high speed drives, increase in weight, increase in size, and increase electrical susceptibility. Due to new developments, the fuzzy modeling is the application of fuzzy set theory (FST) to the representation of the essential features of a system [4,5,9,10,14 and 15]. An important characteristic of FST is that it provides a suitable representation of uncertainty in system knowledge and dynamic models. The basic principle of fuzzy modeling was stated by as follows [4 and 5]: 1- The use of "linguistic variables" in place of or in addition to numerical variables. 2- The characterization of simple relations between variables by "conditional fuzzy statement". 3- The characterization of complex relations by "fuzzy algorithms". Fuzzy modeling has been investigated by different researchers [6,7,8,9,10 and 11]. As discussed in [12], there are different approaches to fuzzy modeling found in the literature. In this paper we use a category of description of dynamic process behavior by means of fuzzy functional equations, assuming knowledge about the structure of the process being studies. We concentrate in this paper on inverse fuzzy model of the field oriented control applied to the induction motor to successfully improve a field oriented control and to give a simple model of field oriented control bloc using a fuzzy sets theory such as simplicity of implementation and performance of fuzzy sets. II. Classical Vector control The induction motor is controlled in a synchronously rotating reference frame with the d-axis oriented along the rotor-flux vector position. In this way, a decoupled control between the electromagnetic torque and the rotor excitation current is obtained. Consequently, the dynamic equation of the induction motor model established in the oriented d-axis rotor flux field is then given by [14 and 15]: J C i JL pL T i T L v L pk i i v L T k i i i i dt d r qs r r m r r ds r m qs s r ds ss qs ds s r r qs ss ds r qs ds ) ( 1 1 1