Optimized PID Controller for Magnetic Levitation System

Abstract

In this paper, an optimized proportional-integral-derivative (PID) controller is designed to control the ball position of the magnetic levitation system (MLS). The electromagnetic force of the MLS is controlled by sensing the position of the ball with the help of the infra-red (IR) sensors. The system performance is improved in terms of time &frequency domain by optimizing the parameters of the PID controller using grey wolf optimizer (GWO). The GWO algorithm tunes the parameter of the PID controller while minimising the performance index of the system such as integral time weighted absolute error (ITAE) and integral time weighted square error (ITSE). The effectiveness of the proposed controller is validated by comparing it with the classical tuning criterion.