Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor

Abstract

Operation at low speed and high torque can lead to the generation of strong ripples in the speed, which can deteriorate the system. To reduce the speed oscillations when operating a five-phase asynchronous motor at low speed, in this article, we propose a control method based on Gray Wolf optimization (GWO) algorithms to adjust the parameters of proportional–integral (PI) controllers. Proportional–integral controllers are commonly used in control systems to regulate the speed and current of a motor. The controller parameters, such as the integral gain and proportional gain, can be adjusted to improve the control performance. Specifically, reducing the integral gain can help reduce the oscillations at low speeds. The proportional–integral controller is insensitive to parametric variations; however, when we employ a GWO optimization strategy based on PI controller parameters, and when we choose gains wisely, the system becomes more reliable. The obtained results show that the hybrid control of the five-phase induction motor (IM) offers high performance in the permanent and transient states. In addition, with this proposed strategy controller, disturbances do not affect motor performance.

Recent Advances in Power Quality Analysis and Robust Control of Renewable Energy Sources in Power Grids

“…A control method to reduce the speed oscillations in a five-phase asynchronous motor drive at low speed is proposed in [8]. This method is based on the Gray Wolf optimization algorithm with the goal of the PI controllers' parameter adjustment.…”