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

Ahmed M. Kassem | Zendy; A. A. Hassan | Zendy

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

Author(s) -

Ahmed M. Kassem,

A. A. Hassan

Publication year - 2012

Publication title -

journal of control science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 18

eISSN - 1687-5257

pISSN - 1687-5249

DOI - 10.1155/2012/319708

Subject(s) - control theory (sociology) , model predictive control , controller (irrigation) , permanent magnet synchronous motor , scheme (mathematics) , computer science , control engineering , control (management) , synchronous motor , magnet , tracking (education) , engineering , mathematics , artificial intelligence , mechanical engineering , psychology , mathematical analysis , pedagogy , electrical engineering , agronomy , biology

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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