Model Predictive Controller design and perturbation study for Magnetic Levitation System

This paper presents a Model Predictive Controller design structure for the magnetic levitation control system based on prediction theory which gives an optimum performance under external disturbances. The conventional controller like PID gets failed to control the system effectively under such disturbances, so an accurate model and complex algorithm are required to design a self tuned PID controller. It uses receding horizon principle in which controller checks and optimizes the control problem at each sampling instant. Only the first value of optimized solution is applied to the plant and rest values are discarded. This process gets repeated.