Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control

This paper investigates the application of the model predictive control (MPC) approach to control the speed of a permanent magnet synchronous motor (PMSM) drive system. The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to re...

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Main Authors: Ahmed M. Kassem, A. A. Hassan
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2012/319708
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author Ahmed M. Kassem
A. A. Hassan
author_facet Ahmed M. Kassem
A. A. Hassan
author_sort Ahmed M. Kassem
collection DOAJ
description This paper investigates the application of the model predictive control (MPC) approach to control the speed of a permanent magnet synchronous motor (PMSM) drive system. The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted functional model predictive control (FMPC) is employed. In order to validate the effectiveness of the proposed FMPC scheme, the performance of the proposed controller is compared with a classical PI controller through simulation studies. Obtained results show that accurate tracking performance of the PMSM has been achieved.
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institution Kabale University
issn 1687-5249
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publishDate 2012-01-01
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series Journal of Control Science and Engineering
spelling doaj-art-f27b84030e904383ac82c0b8bb01920e2025-02-03T01:21:11ZengWileyJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/319708319708Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive ControlAhmed M. Kassem0A. A. Hassan1Control Technology Department, Beni-Suef University, Beni-Suef 62511, EgyptDepartment of Electrical, Faculty of Engineering, Minia University, El Menia 61519, EgyptThis paper investigates the application of the model predictive control (MPC) approach to control the speed of a permanent magnet synchronous motor (PMSM) drive system. The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted functional model predictive control (FMPC) is employed. In order to validate the effectiveness of the proposed FMPC scheme, the performance of the proposed controller is compared with a classical PI controller through simulation studies. Obtained results show that accurate tracking performance of the PMSM has been achieved.http://dx.doi.org/10.1155/2012/319708
spellingShingle Ahmed M. Kassem
A. A. Hassan
Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
Journal of Control Science and Engineering
title Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
title_full Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
title_fullStr Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
title_full_unstemmed Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
title_short Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control
title_sort performance improvements of a permanent magnet synchronous machine via functional model predictive control
url http://dx.doi.org/10.1155/2012/319708
work_keys_str_mv AT ahmedmkassem performanceimprovementsofapermanentmagnetsynchronousmachineviafunctionalmodelpredictivecontrol
AT aahassan performanceimprovementsofapermanentmagnetsynchronousmachineviafunctionalmodelpredictivecontrol