The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train

Abstract

Abstract:The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.