Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives

Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives

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 onl...

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Main Authors: Xuan Wu, Hui Wang, Xiaofang Yuan, Shoudao Huang, Derong Luo
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/431734
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spelling doaj-39a6803a375e4cccbcda2b7f54f695152020-11-24T21:43:43ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/431734431734Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor DrivesXuan Wu0Hui Wang1Xiaofang Yuan2Shoudao Huang3Derong Luo4National Engineering Technology Research Center of Electric Power Conversion & Control, Hunan University, Changsha, Hunan 410082, ChinaNational Engineering Technology Research Center of Electric Power Conversion & Control, Hunan University, Changsha, Hunan 410082, ChinaNational Engineering Technology Research Center of Electric Power Conversion & Control, Hunan University, Changsha, Hunan 410082, ChinaNational Engineering Technology Research Center of Electric Power Conversion & Control, Hunan University, Changsha, Hunan 410082, ChinaNational Engineering Technology Research Center of Electric Power Conversion & Control, Hunan University, Changsha, Hunan 410082, ChinaIn 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.http://dx.doi.org/10.1155/2015/431734
collection DOAJ
language English
format Article
sources DOAJ
author Xuan Wu
Hui Wang
Xiaofang Yuan
Shoudao Huang
Derong Luo
spellingShingle Xuan Wu
Hui Wang
Xiaofang Yuan
Shoudao Huang
Derong Luo
Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
Mathematical Problems in Engineering
author_facet Xuan Wu
Hui Wang
Xiaofang Yuan
Shoudao Huang
Derong Luo
author_sort Xuan Wu
title Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
title_short Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
title_full Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
title_fullStr Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
title_full_unstemmed Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives
title_sort design and implementation of recursive model predictive control for permanent magnet synchronous motor drives
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/431734
work_keys_str_mv AT xuanwu designandimplementationofrecursivemodelpredictivecontrolforpermanentmagnetsynchronousmotordrives
AT huiwang designandimplementationofrecursivemodelpredictivecontrolforpermanentmagnetsynchronousmotordrives
AT xiaofangyuan designandimplementationofrecursivemodelpredictivecontrolforpermanentmagnetsynchronousmotordrives
AT shoudaohuang designandimplementationofrecursivemodelpredictivecontrolforpermanentmagnetsynchronousmotordrives
AT derongluo designandimplementationofrecursivemodelpredictivecontrolforpermanentmagnetsynchronousmotordrives
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