INDIRECT FIELD ORIENTED SPEED CONTROL OF AN INDUCTION MOTOR DRIVE BY USING PSO ALGORITHM

The field oriented control of induction machine is widely used in high - performance applications. The primary advantages of this approach are the decoupling of torque and flux characteristics and easy implementation. Detuning caused by parameter disturbances still limits the performance of these drives. In order to accomplish variable-speed operation, a conventional controller is used. The conventional controllers provided limited good performance over a wide range of operation, even under ideal field-oriented conditions. In order to overcome this problem of parameter variation the PI controllers are widely used in industrial plants because it is simple and robust. However there is a problem in tuning PI parameters. So the control engineers are on look for automatic tuning procedures. In recent years, many intelligence algorithms are proposed to tuning the PI parameters. Tuning PI parameters using different optimal algorithms such as the simulated annealing, genetic algorithm, and particle swarm optimization algorithm. In this paper a scheduling PI tuning parameters using particle swarm optimization strategy for an induction motor speed control is proposed. The results of our work have showed a very low transient response and a non-oscillating steady state response with excellent stabilization. The simulation results presented in this paper show the effectiveness of the proposed method, with satisfied response for PSO-PI controller.

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