Design of Active Magnetic Bearing Controller Based on Model Predictive Control

Magnetic levitation bearings are characterized by instability, nonlinearity, and the need for high-precision control. Although PID controllers can achieve levitation, they lack stability at high rotational speeds. Model Predictive Control (MPC), by using a mathematical model to predict system behavior and considering input and state constraints, is better suited for nonlinear systems. In this study, an MPC controller was designed. Simulation results show that MPC effectively improves the system's levitation stability and tracking performance.