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Journal of Control Science and Engineering
Volume 2012, Article ID 319708, 8 pages
Research Article

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

1Control Technology Department, Beni-Suef University, Beni-Suef 62511, Egypt
2Department of Electrical, Faculty of Engineering, Minia University, El Menia 61519, Egypt

Received 10 December 2011; Accepted 31 March 2012

Academic Editor: Ricardo Dunia

Copyright © 2012 Ahmed M. Kassem and A. A. Hassan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.