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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29210

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The Optimal Indirect Vector Controller Design via an Adaptive Tabu Search Algorithm
The paper presents how to design the indirect vector control of three-phase induction motor drive systems using the artificial intelligence technique called the adaptive tabu search. The results from the simulation and the experiment show that the drive system with the controller designed from the proposed method can provide the best output speed response compared with those of the conventional method. The controller design using the proposed technique can be used to create the software package for engineers to achieve the optimal controller design of the induction motor speed control based on the indirect vector concept.  
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[1] A. Trzynadlowski, Control of Induction Motors. San Diego, Calif, London: Academic, 2001.
[2] K. S. Gaeid, H. W. Ping and H. A. F. Mohamed, "Indirect vector control of a variable frequency induction motor drive (VCIMD)”,International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), Bandung, 2009, pp.36-40.
[3] A. Onea, V. Horga, and M. Ratoi, "Indirect Vector Control of Induction Motor”, The 6th WSEAS International Conference on Simulation, Modelling and Optimization (SMO’06), Lisbon, Portugal, 2010, pp.98-103.
[4] S. Prasad,"Indirect Field - Oriented Control of induction motor”,Power Electronics Congress (CIEP), 12th International, 2010, pp.102 – 105.
[5] T. Kulworawanichpong, K-L. Areerak, K-N. Areerak, and S. Sujitjorn, "Harmonic Identification for Active Power Filters Via Adaptive Tabu Search Method”, LNCS (Lecture Notes in Computer Science) , Springer-Verlag Heidelberg, vol. 3215, 2004, pp. 687-694.
[6] T. Kulworawanichpong, K-L. Areerak, K-N. Areerak, P. Pao-la-or, D. Puangdownreong and S. Sujitjorn, "Dynamic parameter identification of induction motors using intelligent search techniques”, IASTED International Conference on Modelling, Identification, and Control (MIC2005), Innsbruck, Austria: February 16-18, 2005, pp.328-332.
[7] S. Sujitjorn, T. Kulworawanichpong and D. Puangdownreong and K-N Areerak, Adaptive Tabu Search and Applications in Engineering Design, Book Chapters in Integrated Intelligent Systems for Engineering Design (ed. X. F. Zha and R. J. Howlett), IOS Press, The Netherlands, 2006, pp. 233-257.
[8] D. Puangdownreong, K-N. Areerak, K-L. Areerak, S. Sujitjorn and P. Totarong, "SystemIdentification via Adaptive tabu search”, In: Proceedings IEEE International Conference on Industrial Technology (ICIT02), 2002, pp.915-920.
[9] D. Puangdownreong, K-N. Areerak, K-L. Areerak, T. Kulworawanichpongand S. Sujitjorn, "Application of adaptive tabu search to system identification”, IASTED International Conference on Modelling, Identification, and Control (MIC2005), Innsbruck, Austria: February 16-18, 2005, pp.178-173.
[10] K-N. Areerak, T. Kulworawanichpong and S. Sujitjorn, "Moving Towards a New Era of Intelligent Protection through Digital Relaying in Power Systems”, Lecture Notes in Computer Science, Springer-Verlag Heidelberg, vol. 3213, 2004, pp. 1255-1261.
[11] T. Narongrit, K-L. Areerak, and K-N. Areerak, "Design of an Active Power Filter using Genetic Algorithm Technique”, The 9th WSEAS International Conference on Artificial Intelligent, Knowledge Engineering and Data Bases (AIKED’10), Cambridge, United Kingdom: February 20-22, 2010, pp.46-50.
[12] U. Leeton, D. Uthitsunthorn, U. Kwannetr, N. Sinsuphun, T. Kulworawanichpong, "Power loss minimization using optimal power flow based on particle swarm optimization”, International Conference on Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), Chaing Mai: May 19-21, 2010, pp. 440-444.
[13] G. Lirui, H. Limin, Z. Liguo, L. Weina, and H. Jie, "Reactive Power Optimization for sidtribution systems based on Dual Population Ant Colony Optimization,” in Proc. 27th Chinese Control Conference (CCC 2008)., China, pp. 89-93.
[14] B. K. Bose, Modern Power Electronics and AC Drives. New York: Prentice Hall, 2001.
[15] C-M. Ong, Dynamic Simulation of Electric Machinery using MATLAB/Simulink. Upper Saddle River, N. J.: Prentice Hall, 1998.
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