The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train
Science Discovery
Volume 5, Issue 2, April 2017, Pages: 77-85
Received: Apr. 20, 2017; Published: Apr. 20, 2017
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Authors
Li Yelei, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Xu Hongze, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Gegerile, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
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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.
Keywords
Long Stator Linear Synchronous Motor, Model Predictive Control, Move-blocking Strategy, Low-Computation
To cite this article
Li Yelei, Xu Hongze, Gegerile, The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train, Science Discovery. Vol. 5, No. 2, 2017, pp. 77-85. doi: 10.11648/j.sd.20170502.11
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