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Hassan, A., Kassem, A. (2012). SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH. JES. Journal of Engineering Sciences, 40(No 4), 1121-1135. doi: 10.21608/jesaun.2012.114483
A. A. Hassan; Ahmed M. Kassem. "SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH". JES. Journal of Engineering Sciences, 40, No 4, 2012, 1121-1135. doi: 10.21608/jesaun.2012.114483
Hassan, A., Kassem, A. (2012). 'SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH', JES. Journal of Engineering Sciences, 40(No 4), pp. 1121-1135. doi: 10.21608/jesaun.2012.114483
Hassan, A., Kassem, A. SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH. JES. Journal of Engineering Sciences, 2012; 40(No 4): 1121-1135. doi: 10.21608/jesaun.2012.114483

SPEED CONTROL DESIGN OF A PMSM BASED ON FUNCTIONAL MODEL PREDICTIVE APPROACH

Article 11, Volume 40, No 4, July and August 2012, Page 1121-1135  XML PDF (184.04 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2012.114483
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Authors
A. A. Hassan1; Ahmed M. Kassem2
1Electrical Dep., Faculty of Engineering, El-Minia University, Egypt
2Control Technology Dep., Beni-Suef University, Egypt
Abstract
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.
Keywords
Predictive control; Functional model predictive control; permanent magnet synchronous motor
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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