Multiple-global-best guided artificial bee colony algorithm for induction motor parameter estimation

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 22, Issue 3, 2014, Pages 620-626

  Abro, Abdul Ghani ^a   Mohamad Saleh, Junita ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Computational intelligence; Evolutionary algorithm; Induction motor; Metaheuristic algorithms; Parameter estimation; Variant artificial bee colony

Indexed keywords

ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; ARTIFICIAL BEE COLONY ALGORITHMS (ABC); BIO-INSPIRED OPTIMIZATIONS; ENGINEERING APPLICATIONS; INDUCTION MOTOR PARAMETERS; INITIALIZATION TECHNIQUE; META HEURISTIC ALGORITHM;

ARTIFICIAL INTELLIGENCE; CHAOTIC SYSTEMS; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; RESEARCH;

INDUCTION MOTORS;

EID: 84897858965     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-1209-23     Document Type: Article

References (30)

1. A. A. Bazmi, G. Zahedi, "Sustainable energy systems: role of optimization modeling techniques in power generation and supply-a review", Renewable and Sustainable Energy Reviews, Vol. 15, pp. 3480-3500, 2011.
2. A. G. Abro, J. Mohamad-Saleh, "Control of power system stability - reviewed solutions based on intelligent systems", International Journal of Innovative Computing, Information and Control, Vol. 10, pp. 6643-6666, 2012.
3. V. P. Sakthivel, R. Bhuvaneswari, S. Subramanian, "An accurate and economical approach for induction motor field efficiency estimation using bacterial foraging algorithm", Measurement, Vol. 44, pp. 674-684, 2011.
4. H. Çaliş, A. Çakir, E. Dandil, "Artificial immunity based induction motor bearing fault diagnosis", Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 21, pp. 1-25, 2012.
5. V. Prakash, S. Baskar, S. Sivakumar, S. K. Krishna, "A novel efficiency improvement measure in three-phase induction motors, its conservation potential and economic analysis", Energy for Sustainable Development, Vol. 12, pp. 78-87, 2008.
6. V. P. Sakthivel, R. Bhuvaneswari, S. Subramanian, "Artificial immune system for parameter estimation of induction motor", Expert Systems with Applications, Vol. 37, pp. 6109-6115, 2010.
7. M. Akar, I. Çankaya, "Broken rotor bar fault detection in inverter-fed squirrel cage induction motors using stator current analysis and fuzzy logic", Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 20, pp. 1077-1089, 2012.
8. D. Lindenmeyer, H. W. Dommel, A. Moshref, P. Kundur, "An induction motor parameter estimation method", International Journal of Electrical Power & Energy Systems, Vol. 23, pp. 251-262, 2001. (Pubitemid 32273098)
9. L. N. de Castro, Fundamentals of Natural Computing: Basic Concepts, Algorithms and Applications, New York, Taylor & Francis, 2006.
10. R. K. Ursem, P. Vadstrup, "Parameter identification of induction motors using stochastic optimization algorithms", Applied Soft Computing, Vol. 4, pp. 49-64, 2004. (Pubitemid 38638258)
11. V. P. Sakthivel, R. Bhuvaneswari, S. Subramanian, "Multi-objective parameter estimation of induction motor using particle swarm optimization", Engineering Applications of Artificial Intelligence, Vol. 23, pp. 302-312, 2010.
12. Z. Bingül, O. Karahan, "Fractional PID controllers tuned by evolutionary algorithms for robot trajectory control", Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 20, pp. 1123-1136, 2012.
13. D. Karaboga, B. Basturk, "A powerful and efficient algorithm for numerical function optimization: artificial bee colony algorithm", Journal of Global Optimization, Vol. 39, pp. 459-471, 2007 (Pubitemid 47551831)
14. D. Karaboga, B. Basturk, "On the performance of artificial bee colony (ABC) algorithm", Applied Soft Computing, Vol. 8, pp. 687-697, 2008. (Pubitemid 47374599)
15. D. Karaboga, B. Akay, "A comparative study of artificial bee colony algorithm", Applied Mathematics and Computation, Vol. 214, pp. 108-132, 2009.
16. E. A. Mohammed, "Performance assessment of foraging algorithms vs. evolutionary algorithms", Information Sciences, Vol. 182, pp. 243-263, 2012.
17. S. Samanta, S. Chakraborty, "Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm", Engineering Applications of Artificial Intelligence, Vol. 24, pp. 946-957, 2011.
18. H. Gozde, M. C. Taplamacioglu, "Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system", Journal of the Franklin Institute, Vol. 348, pp. 1927-1946, 2011.
19. H. Gozde, M. C. Taplamacioglu, I. Kocaarslan, "Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system", International Journal of Electrical Power & Energy Systems, Vol. 42, pp. 167-178, 2012.
20. K. Chandrasekaran, S. Hemamalini, S. P. Simon, N. P. Padhy, "Thermal unit commitment using binary/real coded artificial bee colony algorithm", Electric Power Systems Research, Vol. 84, pp. 109-119, 2012.
21. Ö. Erçin, R. Çoban, "Identification of linear dynamic systems using the artificial bee colony algorithm", Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 20, pp. 1175-1188, 2012.
22. G. Zhu, S. Kwong, "Gbest-guided artificial bee colony algorithm for numerical function optimization", Applied Mathematics and Computation, Vol. 217, pp. 3166-3173, 2010.
23. F. Kang, J. Li, Z. Ma, "Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions", Information Sciences, Vol. 181, pp. 3508-3531, 2011.
24. W. F. Gao, S. Y. Liu, L. Huang, "A global best artificial bee colony algorithm for global optimization", Journal of Computational and Applied Mathematics, Vol. 236, pp. 2741-2753, 2012.
25. W. F. Gao, S. Y. Liu, "Improved artificial bee colony algorithm for global optimization", Information Processing Letters, Vol. 111, pp. 871-882, 2011.
26. G. Li, P. Niu, X. Xiao, "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization", Applied Soft Computing, Vol. 12, pp. 320-332, 2012.
27. A. Banharnsakun, T. Achalakul, B. Sirinaovakul, "The best-so-far selection in artificial bee colony algorithm", Applied Soft Computing, Vol. 11, pp. 2888-2901, 2011.
28. B. Alatas, "Chaotic bee colony algorithms for global numerical optimization", Expert Systems with Applications, Vol. 37, pp. 5682-5687, 2010.
29. B. Akay, D. Karaboga, "A modified artificial bee colony algorithm for real-parameter optimization", Information Sciences, Vol. 192, pp. 120-142, 2012.
30. W. F. Gao, S. Y. Liu, "A modified artificial bee colony algorithm", Computers & Operations Research, Vol. 39, pp. 687-697, 2012.