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AI based design of a fuzzy logic scheme for speed control of induction motors using SVPWM technique


Ashok Kusagur, S. F. Kodad, B V. Sankar Ram


Vol. 9  No. 1  pp. 74-80


The reliability and performance of the AC drives depends on the progress in power electronics, microelectronics, control methods, artificial intelligent techniques and so on. Fuzzy Logic Concept (FLC), one of the Artificial Intelligent methods has found high applications in most of the nonlinear systems like the electric motor drives. FLC can be used as controller for any system without requirement of the system mathematical model unlike that of the conventional electrical drive control, which uses the mathematical model. Due to the usage of the FLC concept, the efficiency, reliability & performance of the AC drives increases. In view of the previously mentioned concepts, this paper presents a rule-based fuzzy logic controller scheme designed and applied for the speed control of an induction motor by using the Space Vector Pulse Width Modulation (SVPWM) technique. The closed loop speed control of the induction motor using the above technique, thus provides a reasonable degree of accuracy. Instantaneous space voltage vectors applied by the inverter have redundancy characteristics, which provide some flexibility for selecting the inverter switching modes. Simulink based block model of induction motor drive is used for the simulation purposes & its performance is evaluated for the speed control. The inverter duty cycle can also be calculated using the space vector PWM techniques. The proposed method improves the dynamic performance of the induction machine compared to the conventional speed control of induction motor drives & has got a faster response time. The simulation results presented in this paper show the effectiveness of the proposed method, which has got a wide number of advantages.


Artificial Intelligence, Electric drive, Induction machine, Space vector pulse width modulation, Fuzzy logic control, Torque, Speed, Simulink model