Yıl: 2014 Cilt: 22 Sayı: 5 Sayfa Aralığı: 1177 - 1192 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Induction motor parameter estimation using metaheuristic methods

Öz:
-
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] 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.
  • [2] S. Kumar, J. Prakash, P. Kanagasabapathy, “A critical evaluation and experimental verification of extended Kalman filter, unscented Kalman filter and neural state filter for state estimation of three phase induction motor”, Applied Soft Computing, Vol. 11, pp. 3199–3208, 2011.
  • [3] Y. Koubaa, “Application of least-squares techniques for induction motor parameters estimation”, Mathematical and Computer Modelling of Dynamical Systems, Vol. 12, pp. 363–375, 2006.
  • [4] J. Zheng, Y. Wang, X. Qin, X. Zhang, “An offline parameter identification method of induction motor”, Proceedings of the 7th World Congress on Intelligent Control and Automation, pp. 8898–8901, 2008.
  • [5] M.T. Wishart, R.G. Harley, “Identification and control of induction machines using artificial neural networks”, IEEE Transactions on Industry Applications, Vol. 31, pp. 612–619, 1995.
  • [6] M. Arslan, M. C¸ unkaş, T. Sa˘g, “Determination of induction motor parameters with differential evolution algorithm”, Neural Computing and Applications, Vol. 21, pp. 1995–2004, 2012.
  • [7] L.A. De Souza Ribeiro, C.B. Jacobina, A.M.N. Lima, “Linear parameter estimation for induction machines considering the operating conditions”, IEEE Transactions on Power Electronics, Vol. 14, pp. 62–73, 1999.
  • [8] L. Rajaji, C. Kumar, “Adaptive neuro-fuzzy inference systems into squirrel cage induction motor drive: modeling, control and estimation”, 5th International Conference on Electrical and Computer Engineering, pp. 162–169, 2008.
  • [9] M.A. Alwan, “Online tuning of stator resistance in DTC drive based on wavenet theory”, Journal of Basrah Researches (Sciences), Vol. 37, pp. 27–41, 2011.
  • [10] M.H. Shin, D.S. Hyun, “Online identification of stator transient inductance in rotor-flux-oriented induction motor drive”, IEEE Transactions on Industrial Electronics, Vol. 54, pp. 2018–2023, 2007.
  • [11] S.H. Jeon, K.K. Oh, J.Y. Choi, “Flux observer with online tuning of stator and rotor resistances for induction motors”, IEEE Transactions on Industrial Electronics, Vol. 49, pp. 653–664, 2002.
  • [12] Y. Koubaa, M. Boussak, “Adaptive rotor resistance identification for indirect stator flux oriented induction motor drive”, Proceedings of the 2nd International Conference on Signals, Systems Decision and Information Technology, 2003.
  • [13] B. Subudhi, D. Jena, “Differential evolution computation applied to parameter estimation of induction motor”, Archives of Control Sciences, Vol. 19, pp. 5–26, 2009.
  • [14] T.O. Kowalska, J. Lis, K. Szabat, “Identification of the induction motor parameters at standstill using soft computing methods”, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 25, pp. 181–194, 2006.
  • [15] S. Jangjit, P. Laohachai, “Parameter estimation of three-phase induction motor by using genetic algorithm”, Journal of Electrical Engineering & Technology, Vol. 4, pp. 360–364, 2009.
  • [16] K. Kampisios, P. Zanchetta, C. Gerada, 13th International A. Trentin, O. Jasim, “Induction motor parameters identification using genetic algorithms for varying flux levels”, Power Electronics and Motion Control Conference, pp. 887–892, 2008.
  • [17] R. Giri, A. Chowdhury, A. Ghosh, B.K. Panigrahi, S. Das, “Offline parameter estimation of induction motor using a meta heuristic algorithm”, Lecture Notes in Computer Science, Vol. 6466, pp. 523–530, 2010.
  • [18] V.P. Sakthivel, R. Bhuvaneswari, S. Subramanian, “An improved particle swarm optimization for induction motor parameter determination”, International Journal of Computer Applications, Vol. 1, pp. 62–67, 2010.
  • [19] Z. Chen, Y. Zhong, J. Li, “Parameter identification of induction motors using ant colony optimization”, IEEE World Congress on Computational Intelligence, pp. 1611–1616, 2008.
  • [20] Z.W. Geem, J.H. Kim, G.V. Loganathan, “A new heuristic optimization algorithm; harmony search”, Simulation, Vol. 76, pp. 60–68, 2001.
  • [21] O.K. Erol, I. Eksin, “New optimization method: big bang-big crunch”, Advances in Engineering Software, Vol. 37, pp. 106–111, 2006.
  • [22] K. Sundareswaran, H.N. Shyam, S. Palani, J. James, “Induction motor parameter estimation using hybrid genetic algorithm”, IEEE Region 10 and the 3rd International Conference on Industrial and Information Systems, pp. 1–6, 2008.
  • [23] J.W. Kim, S.W. Kim, “Parameter identification of induction motors using dynamic encoding algorithm for searches (DEAS)”, IEEE Transactions on Energy Conversion, Vol. 20, pp. 16–24, 2005.
  • [24] A. Kaveh, S. Talatahari, “An enhanced charged system search for configuration optimization using the concept of fields of forces”, Structural and Multidisciplinary Optimization, Vol. 43, pp. 339–351, 2011.
  • [25] P.C. Sen, Principles of Electric Machines and Power Electronics, New York, NY, Wiley & Sons, 1997.
  • [26] A. Kaveh, S. Talatahari, “A novel heuristic optimization method: charged system search”, Acta Mechanica, Vol. 213, pp. 267–289, 2010.
  • [27] A. Kaveh, S. Talatahari, “Optimal design of skeletal structures via the charged system search algorithm”, Structural and Multidisciplinary Optimization, Vol. 41, pp. 893–911, 2010.
  • [28] A. Kaveh, S. Talatahari, “Charged system search for optimum grillage systems design using the LRFD-AISC code”, Journal of Constructional Steel Research, Vol. 66, pp. 767–771, 2010.
  • [29] A. Kaveh, S. Talatahari, “Geometry and topology optimization of geodesic domes using charged system search”, Structural and Multidisciplinary Optimization, Vol. 43, pp. 215–229, 2011.
  • [30] S. Talatahari, A. Kaveh, R. Sheikholeslami, “An efficient charged system search using chaos for global optimization problems”, International Journal of Optimization in Civil Engineering, Vol. 2, pp. 305–325, 2011.
  • [31] A. Kaveh, S. Talatahari, “A charged system search with a fly to boundary method for discrete optimum design of truss structures”, Asian Journal of Civil Engineering, Vol. 11, pp. 277–293, 2010.
  • [32] A. Kaveh, S. Talatahari, “Optimization of large-scale truss structures using modified charged system search”, International Journal of Optimization in Civil Engineering, Vol. 1, pp. 15–28, 2011.
  • [33] A. Kaveh, S. Talatahari, “Charged system search for optimal design of frame structures”, Applied Soft Computing, Vol. 12, pp. 382–393, 2012.
  • [34] A. Kaveh, K. Laknejadi, “A novel hybrid charge system search and particle swarm optimization method for multiobjective optimization”, Expert Systems with Applications, Vol. 38, pp. 15475–15488, 2011.
  • [35] A. Kaveh, S. Talatahari, “Hybrid charged system search and particle swarm optimization for engineering design problems”, International Journal for Computer-Aided Engineering and Software, Vol. 28, pp. 423–440, 2011.
  • [36] R. Storn, K. Price, “Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces”, Technical Report TR-95-012, International Computer Science Institute, Berkeley, CA, USA, 1995.
  • [37] T. Keskintürk, “Differential evolution algorithm”, ˙Istanbul Commerce University Journal of Science, Vol. 9, pp. 85–99, 2006.
  • [38] S. Özyön, C. Yaşar, H. Temurtaş, “Differential evolution algorithm approach to nonconvex economic power dispatch problems with valve point effect”, 6th International Advanced Technologies Symposium, Electrical & Electronics Technologies Papers, pp. 181–186, 2011.
  • [39] A.S. Uyar, B. Türkay, “Evolutionary algorithms for the unit commitment problem”, Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 16, pp. 239–255, 2008.
  • [40] T. Keskintürk, “Differential evolution algorithm”, YA/EM–Operational Research/Industrial Engineering–XXVI, National Congress, pp. 214–217, 2006.
  • [41] R. Thangaraj, M. Pant, C.T. Raj, A.K. Nagar, “In situ efficiency determination of induction motor: a comparative study of evolutionary techniques”, Applied Artificial Intelligence, Vol. 25, pp. 116–140, 2011.
  • [42] M. Ali, M. Pant, A. Abraham, V. Snasel, “Modified differential evolution algorithm for parameter estimation in mathematical models”, IEEE International Conference on Systems Man and Cybernetics, pp 2767–2772, 2010.
  • [43] C. Yaşar, H. Temurtaş, S. Özyön, “Differential evolution algorithm applied to environmental economic power dispatch problems consisting of thermal units”, 6th National Electrical & Electronics and Computer Engineering Symposium, pp. 108–112, 2010.
  • [44] T. Keskintürk, “The traveling salesman problem solution by using differential evolution algorithm”, 6th National Symposium on Production Research, pp. 651–657, 2006.
  • [45] D. Zoua, H. Liu, L. Gao, S. Li, “A novel modified differential evolution algorithm for constrained optimization problems”, Computers and Mathematics with Applications, Vol. 61, pp. 1608–1623, 2011.
  • [46] C. Yaşar, S. Özyön, “Solution to scalarized environmental economic power dispatch problem by using genetic algorithm”, Electrical Power and Energy Systems, Vol. 38, pp. 54–62, 2012.
  • [47] S. Özyön, C. Yaşar, H. Temurtaş, “Particle swarm optimization algorithm for the solution of nonconvex economic dispatch problem with valve point effect”, 7th International Conference on Electrical and Electronics Engineering, pp. 101–105, 2011.
  • [48] M. Ojaghi, M. Mardani, “Parameter estimation of induction motor using shuffled frog leaping and imperialistic competitive algorithms”, 26th International Power System Conference, pp. 1–9, 2011.
APA ÇANAKOĞLU A, YETGİN A, TEMURTAŞ H, Turan M (2014). Induction motor parameter estimation using metaheuristic methods. , 1177 - 1192.
Chicago ÇANAKOĞLU Ali İhsan,YETGİN Asım Gökhan,TEMURTAŞ Hasan,Turan Mustafa Induction motor parameter estimation using metaheuristic methods. (2014): 1177 - 1192.
MLA ÇANAKOĞLU Ali İhsan,YETGİN Asım Gökhan,TEMURTAŞ Hasan,Turan Mustafa Induction motor parameter estimation using metaheuristic methods. , 2014, ss.1177 - 1192.
AMA ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M Induction motor parameter estimation using metaheuristic methods. . 2014; 1177 - 1192.
Vancouver ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M Induction motor parameter estimation using metaheuristic methods. . 2014; 1177 - 1192.
IEEE ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M "Induction motor parameter estimation using metaheuristic methods." , ss.1177 - 1192, 2014.
ISNAD ÇANAKOĞLU, Ali İhsan vd. "Induction motor parameter estimation using metaheuristic methods". (2014), 1177-1192.
APA ÇANAKOĞLU A, YETGİN A, TEMURTAŞ H, Turan M (2014). Induction motor parameter estimation using metaheuristic methods. Turkish Journal of Electrical Engineering and Computer Sciences, 22(5), 1177 - 1192.
Chicago ÇANAKOĞLU Ali İhsan,YETGİN Asım Gökhan,TEMURTAŞ Hasan,Turan Mustafa Induction motor parameter estimation using metaheuristic methods. Turkish Journal of Electrical Engineering and Computer Sciences 22, no.5 (2014): 1177 - 1192.
MLA ÇANAKOĞLU Ali İhsan,YETGİN Asım Gökhan,TEMURTAŞ Hasan,Turan Mustafa Induction motor parameter estimation using metaheuristic methods. Turkish Journal of Electrical Engineering and Computer Sciences, vol.22, no.5, 2014, ss.1177 - 1192.
AMA ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M Induction motor parameter estimation using metaheuristic methods. Turkish Journal of Electrical Engineering and Computer Sciences. 2014; 22(5): 1177 - 1192.
Vancouver ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M Induction motor parameter estimation using metaheuristic methods. Turkish Journal of Electrical Engineering and Computer Sciences. 2014; 22(5): 1177 - 1192.
IEEE ÇANAKOĞLU A,YETGİN A,TEMURTAŞ H,Turan M "Induction motor parameter estimation using metaheuristic methods." Turkish Journal of Electrical Engineering and Computer Sciences, 22, ss.1177 - 1192, 2014.
ISNAD ÇANAKOĞLU, Ali İhsan vd. "Induction motor parameter estimation using metaheuristic methods". Turkish Journal of Electrical Engineering and Computer Sciences 22/5 (2014), 1177-1192.