Experimental Implementation of Model Predictive Control for Permanent Magnet Synchronous Motor
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Experimental Implementation of Model Predictive Control for Permanent Magnet Synchronous Motor

Authors: Abdelsalam A. Ahmed

Abstract:

Fast speed drives for Permanent Magnet Synchronous Motor (PMSM) is a crucial performance for the electric traction systems. In this paper, PMSM is derived with a Model-based Predictive Control (MPC) technique. Fast speed tracking is achieved through optimization of the DC source utilization using MPC. The technique is based on predicting the optimum voltage vector applied to the driver. Control technique is investigated by comparing to the cascaded PI control based on Space Vector Pulse Width Modulation (SVPWM). MPC and SVPWM-based FOC are implemented with the TMS320F2812 DSP and its power driver circuits. The designed MPC for a PMSM drive is experimentally validated on a laboratory test bench. The performances are compared with those obtained by a conventional PI-based system in order to highlight the improvements, especially regarding speed tracking response.

Keywords: Permanent magnet synchronous motor, mode predictive control, optimization of DC source utilization, cascaded PI control, space vector pulse width modulation, TMS320F2812 DSP.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338315

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References:


[1] P. Cortes, M. P. Kazmier kowski, R. M. Kennel, D. E. Quevedo, and J. Rodriguez, “Predictive control in power electronics and drives,” IEEE Transaction on Industrial Electronics, Vol. 55, No. 12, pp. 4312–4324, Dec. 2008.
[2] J. Rodriguez and P. Cortes, Predictive Control of Power Converters and Electrical Drives, Hoboken, NJ, USA: Wiley, 2012.
[3] Alfonso Damiano, Gianluca Gatto, Ignazio Marongiu, Aldo Perfetto, and Alessandro Serpi, “Operating constraints management of a surfacemounted PM synchronous machine by means of an FPGA-based model predictive control algorithm,” IEEE Transactions on Industrial Informatics, Vol. 10, No. 1, Feb. 2014.
[4] Irtaza M. Syed, Kaamran Raahemifar, “Space Vector PWM and Model Predictive Control for Voltage Source Inverter Control”, World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Electronics and Communication Engineering Vol.8 No: 11, pp. 1562-1568, 2014.
[5] S. Kouro, P. Cortes, R. Vargas, U. Ammann, and J. Rodriguez, “Model predictive control-a simple and powerful method to control power converters,” IEEE Trans. Ind. Electron., vol. 56, no. 6, pp. 1826–1838, Jun. 2009.
[6] F. Morel, X. Lin-Shi, J.-M. Retif, B. Allard, and C. Buttay, “A comparative study of predictive current control schemes for a permanent magnet synchronous machine drive,” IEEE Trans. Ind. Electron., vol. 56, no. 7, pp. 2715–2728, Jul. 2009.
[7] Abdelsalam Ahmed, An Quntao and Sun Li, ‘DSP-Based Implementation of Permanent Magnet Synchronous Motor Drives for EV/HEV Applications’, 16th International Middle East Power Systems Conference (MEPCON'14), Cairo, Egypt, will be held on December 23- 25, 2014.
[8] B. Zhang, Y. Li and Y. Zuo, A DSP-based fully digital PMSM servo drive using on-line self-tuning PI controller, Proc. PIEMC 2000, vol.2, pp. 1012-1017, 2000.
[9] A.M. Trzynadlowski, M.P. Kazmierkowski, P.Z. Grabowski, M.M. Bech, Three Examples of DSP Applications in Advanced Induction Motor Drives, American Control Conference, Vol. 3, pp. 2139-2140, 1999.
[10] TMS320F2810 and TMS320F2812 Digital Signal Processors, Handbook of Texas Instruments, 2012.
[11] Weifeng Zhang, Yuehui Yu, Zhiqiang Chen, DaidaXie, TMS320F2812 DSP Driving System based on Power Electronics Integration Technology, ICSP2006 Proceedings.
[12] Zhao Yinyin, QuYongyin, PMSM Vector Control System Design Based on TMS320F2812, World Automation Congress (WAC), 2012 .
[13] Tiecheng Sun, Ce Liu, Ningbo Lu, Deyan Gao, Sanling Xu, Design of PMSM Vector Control System Based on TMS320F2812 DSP, 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, June 2-5, 2012, Harbin, China.
[14] Zhu Jun, Li Wankui, Han Lili, PMSM Control System Based on Digital Signal Processor, Journal of Networks, Vol. 8, No. 4, April 2013.