|1/2016 - 4|
Energy Efficient Control of High Speed IPMSM Drives - A Generalized PSO ApproachGECIC, M. , KAPETINA, M. , MARCETIC, D.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,399 KB) | Citation | Downloads: 578 | Views: 2,028|
energy efficiency, field oriented control, high speed, permanent magnet synchronous motor, particle swarm optimization
control(15), optimization(13), swarm(11), drives(11), electronics(10), pmsm(9), permanent(9), magnet(9), machines(9), iemdc(8)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 27 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01004
Web of Science Accession Number: 000376995400004
SCOPUS ID: 84960102896
In this paper, a generalized particle swarm optimization (GPSO) algorithm was applied to the problems of optimal control of high speed low cost interior permanent magnet motor (IPMSM) drives. In order to minimize the total controllable electrical losses and to increase the efficiency, the optimum current vector references are calculated offline based on GPSO for the wide speed range and for different load conditions. The voltage and current limits of the drive system and the variation of stator inductances are all included in the optimization method. The stored optimal current vector references are used during the real time control and the proposed algorithm is compared with the conventional high speed control algorithm, which is mostly voltage limit based. The computer simulations and experimental results on 1 kW low cost high speed IPMSM drive are discussed in details.
|References|||||Cited By «-- Click to see who has cited this paper|
| Z. Q. Zhu and L. M. Gong, "Improved sensorless operation of permanent magnet brushless AC motors based on online optimal efficiency control," in Electric Machines Drives Conference (IEMDC), 2011 IEEE International, 2011, pp. 1591-1596. |
 S. Vaez, V. I. John, and M. A. Rahman, "An on-line loss minimization controller for interior permanent magnet motor drives," IEEE Transactions on Energy Conversion, vol. 14, no. 4, pp. 1435-1440, Dec. 1999.
[CrossRef] [Web of Science Times Cited 64]
 C. C. Chan and K. T. Chau, "An advanced permanent magnet motor drive system for battery-powered electric vehicles," IEEE Transactions on Vehicular Technology, vol. 45, no. 1, pp. 180-188, Feb. 1996.
[CrossRef] [Web of Science Times Cited 33]
 A. R. A. Taheri, "Energy Optimization of Field Oriented Six-Phase Induction Motor Drive," Advances in Electrical and Computer Engineering, vol. 11, no. 2, pp. 107-112, 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 7]
 J.-M. Kim and S.-K. Sul, "Speed control of interior permanent magnet synchronous motor drive for the flux weakening operation," IEEE Transactions on Industry Applications, vol. 33, no. 1, pp. 43-48, Jan. 1997.
[CrossRef] [Web of Science Times Cited 248]
 R. Bojoi, M. Pastorelli, J. Bottomley, P. Giangrande, and C. Gerada, "Sensorless control of PM motor drives - A technology status review," in 2013 IEEE Workshop on Electrical Machines Design Control and Diagnosis (WEMDCD), 2013, pp. 168-182.
 S. Morimoto, Y. Tong, Y. Takeda, and T. Hirasa, "Loss minimization control of permanent magnet synchronous motor drives," IEEE Transactions on Industrial Electronics, vol. 41, no. 5, pp. 511-517, Oct. 1994.
[CrossRef] [Web of Science Times Cited 219]
 S.-Y. Jung, J. Hong, and K. Nam, "Copper loss minimizing torque control of IPMSM based on flux variables," in Electric Machines Drives Conference (IEMDC), 2013 IEEE International, 2013, pp. 1174-1179.
 B. Patel and M. N. Uddin, "Development of a nonlinear loss minimization control of an IPMSM drive with flux estimation," in Electric Machines Drives Conference (IEMDC), 2013 IEEE International, 2013, pp. 1196-1203.
 H. Aorith, J. Wang, and P. Lazari, "A new Loss Minimization Algorithm for Interior Permanent Magnet Synchronous Machine drives," in Electric Machines Drives Conference (IEMDC), 2013 IEEE International, 2013, pp. 526-533.
 H.-C. Chen, K.-Y. Chen, and W.-Y. Chen, "High-Efficiency Current Control Methods Based on Multidimensional Feedback Quantization and Its Application to Three-Phase PMSM," IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 5820-5829, Nov. 2014.
[CrossRef] [Web of Science Times Cited 8]
 A. Rabiei, T. Thiringer, and J. Lindberg, "Maximizing the energy efficiency of a PMSM for vehicular applications using an iron loss accounting optimization based on nonlinear programming," in 2012 XXth International Conference on Electrical Machines (ICEM), 2012, pp. 1001-1007.
 R. Ni, D. Xu, G. Wang, L. Ding, G. Zhang, and L. Qu, "Maximum Efficiency Per Ampere Control of Permanent-Magnet Synchronous Machines," IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2135-2143, Apr. 2015.
[CrossRef] [Web of Science Times Cited 61]
 I. Vlad, A. Campeanu, S. Enache, and G. Petropol, "Operation Characteristics Optimization of Low Power Three-Phase Asynchronous Motors," Advances in Electrical and Computer Engineering, vol. 14, no. 1, pp. 87-92, 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 8]
 M. Leuer, A. Ruting, and J. Bocker, "Efficiency-optimized Model Predictive Torque Control for IPMSM," in Energy Conference (ENERGYCON), 2014 IEEE International , vol., no., pp.9-13, 13-16 May 2014.
 Y. Zhang, K. Yang, H. Xie, C. Zhu, X. Wei, and Z. Pan, "Optimal efficiency control of modular PMSM on EVs based on iso efficiency contours," in Electrical Machines and Systems (ICEMS), 2014 17th International Conference on , vol., no., pp.2131-2135, 22-25 Oct. 2014.
 J. Kennedy and R. Eberhart, "Particle swarm optimization," in , IEEE International Conference on Neural Networks, 1995. Proceedings, 1995, vol. 4, pp. 1942-1948 vol.4.
[CrossRef] [Web of Science Times Cited 23542]
 L. Liu and D. A. Cartes, "A particle swarm optimization approach for automatic diagnosis of PMSM stator fault," in American Control Conference, 2006, p. 6,
 F. Grouz, L. Sbita, and M. Boussak, "Particle swarm optimization based fault diagnosis for non-salient PMSM with multi-phase inter-turn short circuit," in 2012 2nd International Conference on Communications, Computing and Control Applications (CCCA), 2012, pp. 1-6.
 Z.-H. Liu, J. Zhang, X.-H. Li, and Y.-J. Zhang, "Cooperative particle swarm optimization with ICS and Its application to parameter identification of PMSM," in 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2012, pp. 1303-1308.
 S. Yan, D. Xu, X. Gui, and M. Yang, "On-line Particle Swarm Optimization of Anti-Windup Speed Controller for PMSM Drive System," in 2nd IEEE Conference on Industrial Electronics and Applications, 2007. ICIEA 2007, 2007, pp. 278-282.
 H. Hu, Q. Hu, Z. Lu, and D. Xu, "Optimal PID controller design in PMSM servo system via particle swarm optimization," in 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005,
 H. Aygun, M. Gokdag, M. Aktas, and M. Cernat, "A novel sensorless field oriented controller for Permanent Magnet Synchronous Motors," in Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on, pp.715-720, 1-4 June 2014.
 M. Baskin, and B. Caglar, "A modified design of PID controller for permanent magnet synchronous motor drives using particle swarm optimization," in Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International , vol., no., pp.388-393, 21-24 Sept. 2014.
 Z. Q. Song, D. Xiao, and M.F. Rahman, "Online particle swarm optimization for sensorless IPMSM drives considering parameter variation," in Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE-ASIA), 2014 International , vol., no., pp.2686-2692, 18-21 May 2014.
 A. Ratnaweera, S. Halgamuge, and H. C. Watson, "Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients," IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240-255, Jun. 2004.
[CrossRef] [Web of Science Times Cited 1555]
 M. R. Rapaic, Z. Kanovic, Z. D. Jelicic, and D. Petrovacki, "Generalized PSO algorithm - an application to Lorenz system identification by means of neural-networks," in 9th Symposium on Neural Network Applications in Electrical Engineering, 2008. NEUREL 2008, pp. 31-35.
 M. R. Rapaic and . Kanovic, "Time-varying PSO - convergence analysis, convergence-related parameterization and new parameter adjustment schemes," Information Processing Letters, vol. 109, no. 11, pp. 548-552, May 2009.
[CrossRef] [Web of Science Times Cited 31]
 . Kanovic, M. R. Rapaic, and Z. D. Jelicic, "Generalized particle swarm optimization algorithm - Theoretical and empirical analysis with application in fault detection," Applied Mathematics and Computation, vol. 217, no. 24, pp. 10175-10186, Aug. 2011.
[CrossRef] [Web of Science Times Cited 30]
 O. T. Altinoz, A. E. Yilmaz, A. Duca, G. Ciuprina, "Incorporating the Avoidance Behavior to the Standard Particle Swarm Optimization 2011," Advances in Electrical and Computer Engineering, vol.15, no.2, pp.51-58, 2015,
[CrossRef] [Full Text] [Web of Science Times Cited 6]
 D. Yousfi and A. Darkawi, "Comparison of two position and speed estimation techniques used in PMSM sensorless vector control," in 4th IET Conference on Power Electronics, Machines and Drives, 2008. PEMD 2008, 2008, pp. 626-630.
Web of Science® Citations for all references: 25,812 TCR
SCOPUS® Citations for all references: 0
Web of Science® Average Citations per reference: 807 ACR
SCOPUS® Average Citations per reference: 0
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2019-08-13 06:59 in 204 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.