IPMSM speed and current controller design for electric vehicles based on explicit MPC

Статья в журнале

Liu F., Gao F., Liu L., Sidorov D.N.

Журнал: Journal of Advanced Computational Intelligence and Intelligent Informatics

Journal of Advanced Computational Intelligence and Intelligent Informatics. Vol.23. No.6. P.1019-1026.

DOI: 10.20965/jaciii.2019.p1019

2019

The difficulties in implementing the model predictive control (MPC) in interior permanent-magnet synchronous motors (IPMSMs) consist of the nonlinear behavior of IPMSMs and the computational effort required by MPC. This paper presents an IPMSM controller design method for electric vehicles based on explicit MPC (EMPC), which uses a different linearization method. The proposed controller combines the speed and current controllers and replaces the traditional cascade structure. First, the nonlinear terms in the system model are added into the control input as voltage compensation to obtain a simple linear model. Next, the proposed controller based on MPC is designed, which considers the effects of load torque and uses an increment model. Furthermore, the controller applies both current and voltage constraints. The EMPC method based on a binary search is used to accelerate the solution of the optimization problem. Finally, the simulation results show the validity and superiority of the proposed method. © 2019 Fuji Technology Press. All rights reserved.

Библиографическая ссылка

Liu F., Gao F., Liu L., Sidorov D.N. IPMSM speed and current controller design for electric vehicles based on explicit MPC // Journal of Advanced Computational Intelligence and Intelligent Informatics. Vol.23. No.6. 2019. P.1019-1026. DOI: 10.20965/jaciii.2019.p1019

explicit model predictive control