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

摘要: 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 terms parameters such as speed, current, inductance torque. Based on parameters, motor controlled minimized ripples. After that, signal generated for controlling SRM. Hence, this proposed an enhanced with PWM mode A recent optimization approach based technique regulating Here, Ant-Lion Optimizer (ALO) algorithm Fractional Order PID (FOPID) controller utilized analyze To get optimal results FOPID controller, gain are optimized. ALO achieve parameter controller. Finally, implemented Matlab/Simulink platform. performance analysis method demonstrated contrasted existing techniques Genetic Algorithm (GA) Particle Swarm Optimization (PSO) techniques.