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This paper presents a new direct torque control (DTC) strategy for Synchronous Reluctance Motor using the particle swarm optimization (PSO) algorithm. In conventional direct torque controlled (DTC) Synchronous Reluctance Motor (SRM), there is usually undesired torque and flux ripple. So Tuning parameter of the PI-Controller (Kp, Ki) are essential to DTC system to improve the performance of the system. In this work, particle swarm optimization (PSO) is proposed to adjust the parameters (Kp, Ki) of the speed controller in order to improve the performance of the system, and run the machine at reference speed.

Optimal Gain of PI Speed Controller in Reluctance Synchronous Motor using Particle Swarm Optimization