Ant-lion optimizer algorithm based FOPID controller for speed control and torque ripple minimization of SRM drive system

Abstract

This paper mainly proposes a speed and current control strategy to minimize torque ripple in Switched Reluctance Motor (SRM). The dynamic behavior of the SRM is analyzed in terms of the parameters such as the speed, current, inductance and torque. Based on the parameters, the motor speed is controlled and minimized the torque ripples. After that, the control signal is generated for controlling the speed of the SRM. Hence, this paper proposed an enhanced speed and current control with PWM mode to minimize the torque ripples. A recent optimization approach based current and torque control technique is proposed for regulating the speed of the SRM. Here, Ant-Lion Optimizer (ALO) algorithm based Fractional Order PID (FOPID) controller is utilized to analyze the speed and torque of SRM. To get the optimal results of FOPID controller, the gain parameters are optimized. The ALO algorithm is utilized to achieve the optimal gain parameter of the FOPID controller. Finally, the proposed technique is implemented in the Matlab/Simulink platform. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm techniques.