Multiple model based predictive control of magnetic levitation system

Abstract

This paper deals with the real time control of an electromagnetic ball suspension system using multiple model based predictive control (MMPC). The objective is to control the position of a metal ball in air space. The multiple model predictive control is designed based on the linearized models of the system about multiple operating conditions. For real time control a laboratory version of magnetic levitation device (33-210) by Feedback instruments is used. The performance of MMPC is compared with normal model predictive control (MPC) and found that MMPC is better than MPC.