English

Abstract

This paper proposes a design of a speed control of three phase induction motor fed from wind turbine using genetic algorithm. The wind turbine acts as a prime-mover for doubly fed induction generator. To make the system stable, proper monitoring is required or sometimes an auxiliary system can also be a good option, which can support the primary system during undesirable conditions. The three phase induction motor has wide applications in industries due to its rugged construction, efficiency and low cost. Genetic algorithm is used for estimation of feedback controller parameters for three phase induction motor fed from wind turbine .Genetic algorithm offers certain advantages such as simple computational steps, derivative free optimization, reduced no. of iteration and assured near global optima. The simulation results show a significant enhancement in shortening development time and improving dynamic performance of the induction machine compared to the conventional speed control of induction motor drive. I.INTRODUCTION This study proposes the genetic algorithm for optimal designing of fuzzy controller for speed control of Induction motor fed by wind turbine, which has a simple structure and robust performance in a wide range of operating conditions. The use of induction motors has increased tremendously since the day of its invention. The reason for its day by day increasing popularity can be primarily attributed to its robust construction, simplicity in design and cost effectiveness. These have also proved to be more reliable than DC motors. However, the highly non-linear nature of the induction motor control dynamics demands strenuous control algorithms for the control of speed. The conventional controller types that are used for the aforementioned purpose may be numeric, neural or fuzzy. The controller types that are regularly used are: Proportional Integral (PI), Proportional Derivative (PD), Proportional Integral Derivative (PID), Fuzzy Logic Controller (FLC) or a blend between them. Intelligent control methodologies are being applied to robotics and automation, communications, manufacturing, traffic control, to mention but a few application areas. The design problem of the proposed controller is formulated as an optimization problem and genetic algorithm is employed to search for optimal controller parameters. By minimizing the time domain objective function, in which the deviations in error between the reference and actual speed is involved, speed control of Induction motor is improved.