Controller design for magnetic levitation system using swarm intelligence technique

Abstract

This paper employs the design of controllers for magnetic levitation system (Maglev) in Simulink as well as real-time. Since Maglev is one of the most nonlinear and unstable system, which has to be linearized at an equilibrium point. So for obtaining a linearized transfer function model, local linearization around that equilibrium point (−1.5V) has been performed. In this article, the integral-tilted derivative (I-TD) controller design has been imposed for the Maglev system and its execution is contrasted with conventional tilted integral derivative (TID) controller. In this paper, parameters of TID controller have been tuned through particle swarm optimization (PSO) and those optimized values have been implemented for I-TD controller. The performance of TID and I-TD controller is compared and investigated. The results show the predominance of I-TD controller over TID controller regarding peak overshoot, phase and gain margin. The settling time remains practically unchanged in both the cases.