Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 3

adaptive tabu search Related Publications

3 The Optimal Indirect Vector Controller Design via an Adaptive Tabu Search Algorithm

Authors: A. Srikaew, K-N. Areerak, K-L. Areerak, P. Sawatnatee, S. Udomsuk

Abstract:

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.

 

Keywords: Artificial Intelligence, Control Design, Induction Motor, indirect vector control, adaptive tabu search

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2 Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search

Authors: J. Kluabwang

Abstract:

An economic operation scheduling problem of a hydro-thermal power generation system has been properly solved by the proposed multipath adaptive tabu search algorithm (MATS). Four reservoirs with their own hydro plants and another one thermal plant are integrated to be a studied system used to formulate the objective function under complicated constraints, eg water managements, power balance and thermal generator limits. MATS with four subsearch units (ATSs) and two stages of discarding mechanism (DM), has been setting and trying to solve the problem through 25 trials under function evaluation criterion. It is shown that MATS can provide superior results with respect to single ATS and other previous methods, genetic algorithms (GA) and differential evolution (DE).

Keywords: adaptive tabu search, Hydro-thermal scheduling problem, economic dispatch, multipath adaptive tabu search

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1 The Application of Adaptive Tabu Search Algorithm and Averaging Model to the Optimal Controller Design of Buck Converters

Authors: A. Srikaew, K-N. Areerak, K-L. Areerak, T. Sopapirm

Abstract:

The paper presents the applications of artificial intelligence technique called adaptive tabu search to design the controller of a buck converter. The averaging model derived from the DQ and generalized state-space averaging methods is applied to simulate the system during a searching process. The simulations using such averaging model require the faster computational time compared with that of the full topology model from the software packages. The reported model is suitable for the work in the paper in which the repeating calculation is needed for searching the best solution. The results will show that the proposed design technique can provide the better output waveforms compared with those designed from the classical method.

Keywords: Modeling and simulation, adaptive tabu search, DQ method, Buck converter, generalized state-space averaging method

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