Coevolutionary particle swarm optimization using AIS and its application in multiparameter estimation of PMSM

IEEE Transactions on Cybernetics

Volumn 43, Issue 6, 2013, Pages 1921-1935

  Liu, Zhao Hua ^a   Zhang, Jing ^b   Zhou, Shao Wu ^a   Li, Xiao Hua ^a   Liu, Kan ^c  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUNAN UNIVERSITY   (China)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Artificial immune system (AIS); Coevolution; Elite population; Global search; Migration scheme; Parameter estimation; Particle swarm optimization (PSO); Permanent magnet synchronous machines (PMSMs)

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; CO-EVOLUTION; ELITE POPULATIONS; GLOBAL SEARCH; MIGRATION SCHEME; PERMANENT MAGNET SYNCHRONOUS MACHINES;

ABILITY TESTING; ALGORITHMS; BENCHMARKING; ELECTRIC RESISTANCE; ESTIMATION; PARAMETER ESTIMATION; SYNCHRONOUS MACHINERY;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMIMETICS; EVOLUTION; HUMAN; IMMUNOLOGY; INNATE IMMUNITY; METHODOLOGY; WAVELET ANALYSIS;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL EVOLUTION; BIOMIMETICS; HUMANS; IMMUNITY, INNATE; PATTERN RECOGNITION, AUTOMATED; WAVELET ANALYSIS;

EID: 84890024304     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2012.2235828     Document Type: Article

References (43)

1. R. C. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory," in Proc. 6th Int. Symp. Micromach. Human Sci., Nagoya, Japan, 1995, pp. 39-43.
2. J. Kennedy and R. C. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., Perth, Australia, 1995, vol. 4, pp. 1942-1948.
3. C. F. Juang, "A hybrid of genetic algorithm and particle swarm optimization for recurrent network design," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 2, pp. 997-1006, Apr. 2004.
4. F. J. Lin, L. T. Teng, J. W. Lin, and S. Y. Chen, "Recurrent functionallink- based fuzzy-neural-network-controlled induction-generator system using improved particle swarm optimization," IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1557-1577, May 2009.
5. C. H. Liu and Y. Y. Hsu, "Design of a self-tuning PI controller for a STATCOM using particle swarm optimization," IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 702-715, Feb. 2010.
6. R. J. Wai, K. L. Chuang, and J. D. Lee, "On-line supervisory control design for Maglev transportation system via total sliding-mode approach and particle swarm optimization," IEEE Trans. Autom. Control, vol. 55, no. 7, pp. 1544-1559, Jul. 2010.
7. H. L. Wei, S. A. Billings, Y. F. Zhao, and L. Z. Guo, "Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification," IEEE Trans. Neural Netw., vol. 20, no. 1, pp. 181-185, Jan. 2009.
8. L. Liu, W. X. Liu, and D. A. Cartes, "Permanent magnet synchronous motor parameter identification using particle swarm optimization," Int. J. Comput. Intell. Res., vol. 4, no. 2, pp. 211-218, Oct. 2008.
9. R. Marion, R. Scorretti, N. Siauve, M. A. Raulet, and L. Krahenbiihl, "Identification of Jiles-Atherton model parameters using particle swarm optimization," IEEE Trans. Magn., vol. 44, no. 6, pp. 894-897, Jun. 2008.
10. A. A. E. Ahmed, L. T. Germano, and Z. C. Antonio, "A hybrid particle swarm optimization applied to loss power minimization," IEEE Trans. Power Syst., vol. 20, no. 2, pp. 859-866, May 2005.
11. P. J. Angeline, "Using selection to improve particle swarm optimization," in Proc. IEEE Int. Conf. Evol. Comput., Anchorage, AK, May 1998, pp. 84-89.
12. S. H. Ling, H. H. C. Iu, K. Y. Chan, H. K. Lam, B. C. W. Yeung, and F. H. Leung, "Hybrid particle swarm optimization with wavelet mutation and its industrial applications," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 3, pp. 743-763, Jun. 2008. (Pubitemid 351796155)
13. Y. Shi and R. C. Eberhart, "A modified particle swarm optimizer," in Proc. IEEE World Congr. Comput. Intell., 1998, pp. 69-73.
14. Y. Shi and R. C. Eberhart, "Particle swarm optimization with fuzzy adaptive inertia weight," in Proc. Workshop Part. Swarm Optim., Indianapolis, IN, 2001, pp. 101-106. (Pubitemid 32806325)
15. Z. H. Zhan, J. Zhang, Y. Li, and H. S. H. Chung, "Adaptive particle swarm optimization," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 39, no. 6, pp. 1362-1381, Dec. 2009.
16. J. J. Liang, A. K. Qin, P. N. Suganthan, and S. Baskar, "Comprehensive learning particle swarm optimizer for global optimization of multimodal functions," IEEE Trans. Evol. Comput., vol. 10, no. 3, pp. 281-295, Jun. 2006. (Pubitemid 43821759)
17. H. Wu, J. P. Geng, R. H. Jin, J. Z. Qiu, W. Liu, J. Chen, and S. Liu, "An improved comprehensive learning particle swarm optimization and its application to the semiautomatic design of antennas," IEEE Trans. Antennas Propag., vol. 57, no. 10, pp. 3018-3028, Oct. 2009.
18. J. Kennedy and R. Mendes, "Population structure and particle swarm performance," in Proc. IEEE Congr. Evol. Comput., Honolulu, HI, 2002, pp. 1671-1676.
19. J. Kennedy and R. Mendes, "Neighborhood topologies in fully informed and best-of-neighborhood particle swarms," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 36, no. 4, pp. 515-519, Jul. 2006.
20. F. Van den Bergh and A. P. Engelbrecht, "A cooperative approach to particle swarm optimization," IEEE Trans. Evol. Comput., vol. 8, no. 3, pp. 225-239, Jun. 2004.
21. R. A. Krohling and L. S. Coelho, "Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 6, pp. 1407-1416, Dec. 2006. (Pubitemid 46405771)
22. G. G. Yen and W. F. Leong, "Dynamic multiple swarms in multiobjective particle swarm optimization," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 39, no. 4, pp. 890-911, Jul. 2009.
23. B. Niu, Y. Zhu, and X. He, "Multi-population cooperative particle swarm optimization," in Proc. Eur. Conf. Artif. Life, Canterbury, U.K., 2005, pp. 874-883.
24. L. N. de Castro and F. J. von Zu ben, "Learning and optimization using the clonal selection principle," IEEE Trans. Evol. Comput., vol. 6, no. 3, pp. 239-251, Jun. 2002. (Pubitemid 34867248)
25. A. M. Whitbrook, U. Aickelin, and J. M. Garibaldi, "Idiotypic immune networks in mobile-robot control," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 6, pp. 1581-1598, Dec. 2007. (Pubitemid 350201164)
26. L. dos Santos Coelho and P. Alotto, "Loney's Solenoid design using an artificial immune network with local search based on the simplex method," IEEE Trans. Magn., vol. 44, no. 6, pp. 1070-1073, Jun. 2008. (Pubitemid 351711372)
27. C. Yan, G. K. Venayagamoorthy, and K. Corzine, "Hardware implementation of an AIS-based optimal excitation controller for an electric ship," IEEE Trans. Ind. Appl., vol. 47, no. 2, pp. 1060-1070, Mar./Apr. 2011.
28. K. M.Woldemariam and G. G. Yen, "Vaccine-enhanced artificial immune system for multimodal function optimization," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 1, pp. 218-228, Feb. 2010.
29. M. Potter and K. De Jong, "A cooperative coevolutionary approach to function optimization," in Proc.3rd. Parallel Prob. Solving Nat., Berlin, Germany, 1994, pp. 249-257.
30. I. Daubechies, Ten Lectures onWavelets. Philadelphia, PA: SIAM, 1992.
31. X. Yao, Y. Liu, and G. M. Lin, "Evolutionary programming made faster," IEEE Trans. Evol. Comput., vol. 3, no. 2, pp. 82-102, Jul. 1999.
32. D. F. W. Yap, S. P. Koh, and S. K. Tiong, "Mathematical function optimization using AIS antibody remainder method," Int. J. Mach. Learn. Comput., vol. 1, no. 1, pp. 13-19, Apr. 2011.
33. J. J. Liang, P. N. Suganthan, and K. Deb, "Novel composition test functions for numerical global optimization," in Proc. IEEE Swarm Intell. Symp., Pasadena, CA, Jun. 2005, pp. 68-75.
34. K. Tang, X. Yao, P. N. Suganthan, C. MacNish, Y. P. Chen, C. M. Chen, and Z. Yang, "Benchmark functions for the CEC'2008 special session and competition on large scale global optimization," Nanyang Technol. Univ., Singapore, 2007, Tech. Rep.
35. M. C. Chou, C. M. Liaw, S. B. Chien, F. H. Shieh, J. R. Tsai, and H. C. Chang, "Robust current and torque controls for PMSM driven satellite reaction wheel," IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 58-74, Jan. 2011.
36. P. Zheng, J. Zhao, R. Liu, C. D. Tong, and Q. Wu, "Magnetic characteristics investigation of an axial-axial flux compound-structure PMSM used for HEVs," IEEE Trans. Magn., vol. 46, no. 6, pp. 2191-2194, Jun. 2010.
37. Y. A.-R. I. Mohamed and E. F. El-Saadany, "A current control scheme with an adaptive internal model for torque ripple minimization and robust current regulation in PMSM drive systems," IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 92-100, Mar. 2008. (Pubitemid 351392303)
38. B. N. Mobarakeh, F. Meibody-Tabar, and F. M. Sargos, " Mechanicalsensorless control of PMSM with online estimation of stator resistance," IEEE Trans. Ind. Appl., vol. 40, no. 2, pp. 457-471, Mar./Apr. 2004.
39. S. J. Underwood and I. Husain, "Online parameter estimation and adaptive control of permanent-magnet synchronous machines," IEEE Trans. Ind. Electron., vol. 57, no. 7, pp. 2435-2443, Jul. 2010.
40. F. F. M. El-Sousy, "Robust wavelet-neural-network sliding-mode control system for permanent magnet synchronous motor drive," IET Elect. Power Appl., vol. 5, no. 1, pp. 113-132, Jan. 2011.
41. K. Liu, Q. Zhang, J. T. Chen, Z. Q. Zhu, J. Zhang, and A.W. Shen, "Online multiparameter estimation of nonsalient-pole PM synchronous machines with temperature variation tracking," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1776-1788, May 2011.
42. K. Liu, Z. Q. Zhu, and J. Zhang, "Multi-parameter estimation of nonsalient pole permanent magnet synchronous machines by using evolutionary algorithms," in Proc. IEEE Int. Conf. BIC-TA, Changsha, China, 2010, pp. 766-774.
43. A. M. N. Lima, C. B. Jacobina, and E. B. D. S. Filho, "Nonlinear parameter estimation of steady-state induction machine models," IEEE Trans. Ind. Electron., vol. 44, no. 3, pp. 390-397, Jun. 1997.