Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives. (1st November 2015)

• Record Type: Journal Article
• Authors: Wu, Xuan; Wang, Hui; Yuan, Xiaofang; Huang, Shoudao; Luo, Derong
• Other Names: Yan Xinggang Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-11-01
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/431734
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In order to control the permanent-magnet synchronous motor system (PMSM) with different disturbances and nonlinearity, an improved current control algorithm for the PMSM systems using recursive model predictive control (RMPC) is developed in this paper. As the conventional MPC has to be computed online, its iterative computational procedure needs long computing time. To enhance computational speed, a recursive method based on recursive Levenberg-Marquardt algorithm (RLMA) and iterative learning control (ILC) is introduced to solve the learning issue in MPC. RMPC is able to significantly decrease the computation cost of traditional MPC in the PMSM system. The effectiveness of the proposed algorithm has been verified by simulation and experimental results.