International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 5, October 2018, pp. 2883~2893 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i5.pp2883-2893  2883 Journal homepage: http://iaescore.com/journals/index.php/IJECE Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control Mohamed Habbab 1 , Abdeldjebar Hazzab 2 , Pierre Sicard 3 1,2 Laboratoire de Recherche Commande, Analyse et Optimisation des Systèmes Electro- énergétiques, université TAHRI Mohamed de Bechar, Algeria 3 Groupe de Recherche en Electronique Industrielle (GREI) Université du Québec à Trois-Rivières C.P.500, Canada Article Info ABSTRACT Article history: Received Oct 23, 2017 Revised Jan 23, 2018 Accepted Apr 23, 2018 In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. Keyword: dSPACE Fuzzy logic Induction machine Real-time implementation Sliding mode control Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Abdeldjebar Hazzab, Laboratoire de Recherche Commande, Analyse et Optimisation des Systèmes Electro-énergétiques, Université TAHRI Mohamed de Bechar, BP 417, Bechar (08000), Algeria. Email: a_hazzab@yahoo.fr 1. INTRODUCTION Sliding mode control (SMC) has for long been known for its capabilities in accounting for modeling imprecision and bounded disturbances. It achieves robust control by adding a discontinuous control signal across the sliding surface, satisfying the sliding condition. However, in SMC, the high frequency chattering phenomenon that results from the discontinuous control action is a severe problem when the state of the system is close to the sliding surface [1],[2]. To simplify the equivalent control of the classical SMC and ease the design task for practicing engineers [3],[4], an adaptive PI-sliding mode controller (APISMC) is used which the equivalent control action based on the proportional plus integral control law with generalized hard-switching parameters [5]-[7]. A potential advantage of this strategy is its ability of using the undistorted nonlinear model of the physical system in a simulation based design process [6]. In various nonlinear system control issues, fuzzy controller is recently a popular method to combine with sliding mode control method that can improve some disadvantages in this issue. Comparing with the classical control theory, the fuzzy control theory does not pay much attention to the stability of system, and the stability of the controlled system cannot be so guaranteed. In fact, the stability is observed based on following two assumptions: First, the input/output data and system parameters must be crisply known. Second, the system has to be known precisely. The fuzzy controller is weaker in stability because it lacks a