An Advanced Control Strategy for Magnetic Levitation Train System Based on an Online Adaptive PID Controller

Magnetic levitation train is an unstable system; state feedback and PID controllers can be used to stabilize the system. Traditional PID and state feedback controllers are simple in design and easy to tune but they cannot give satisfactory performance under larger variations. This paper proposes a new control strategy based on adaptive PID (APID) for magnetic levitation train system. The proposed APID is robust against the parameter variations as it is capable of adjusting its parameters online according to variations in the system. Mathematical model of magnetic levitation train system, adaptive PID, state feedback and PID are derived and implemented in MATLAB. The proposed APID control strategy is assessed in presence of small and large disturbances and simulation results depict the effectiveness of the proposed methodology.