Speed control of PMSM drive using bacterial foraging optimization

Abstract

This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. An attempt has been made to minimize the maximum overshoot, peak time, settling time, rise time and integral absolute control error of the PMSM shaft speed, with the aid of an intelligent PID speed controller, in order to achieve fast and efficient transient speed response. Bacterial Foraging Optimization (BFO) technique has been employed to optimize the gain coefficients (proportional, integral and derivative) of the intelligent PID speed controller. Simulation results demonstrate that with use of BFO technique faster speed response, and improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols method of PID tuning.