Real-time implementation of robust set-point weighted PID controller for magnetic levitation system

Abstract

In this paper, a novel Set Point Weighted Proportional Integral Derivative (SPWPID) controller has been proposed for the Magnetic levitation (Maglev) system in Simulink and real time. The recently evolved Teaching Learning Based Optimization (TLBO) has been used to identify the suitable controller parameter values by optimizing the objective function. The performance of the SPWPID controller is compared with that of the PID controller, designed using TLBO. Moreover, the performance of the SPWPID controller has also been compared with the performance of the 1-DOF and 2-DOF PID controller designed for the same Maglev plant [15]. The result of the comparison shows that the SPWPID controller outperforms both the 1-DOF and 2-DOF PID controllers in terms of overshoot and settling time. The robustness analysis has also been incorporated to demonstrate the robust behavior of the plant with the SPWPID controller.