<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9997287" mdate="2014-01-06 00:00:00"> <author>P. Sawatnatee and S. Udomsuk and K-N. Areerak and K-L. Areerak and A. Srikaew</author> <title>The Optimal Indirect Vector Controller Design via an Adaptive Tabu Search Algorithm</title> <pages>1500 - 1505</pages> <year>2013</year> <volume>7</volume> <number>11</number> <journal>International Journal of Computer and Systems Engineering</journal> <ee>https://publications.waset.org/pdf/9997287</ee> <url>https://publications.waset.org/vol/83</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>The paper presents how to design the indirect vector control of threephase 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. </abstract> <index>Open Science Index 83, 2013</index> </article>