Multiobjective Multipath Adaptive Tabu Search for Optimal PID Controller Design

Multiobjective Multipath Adaptive Tabu Search for Optimal PID Controller Design

Автор: Deacha Puangdownreong

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 8 vol.7, 2015 года.

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The multipath adaptive tabu search (MATS) has been proposed as one of the most powerful metaheuristic optimization search techniques for solving the combinatorial and continuous optimization problems. The MATS employing the adaptive tabu search (ATS) as the search core has been proved and applied to various real-world engineering problems in single objective optimization manner. However, many design problems in engineering are typically multiobjective under complex nonlinear constraints. In this paper, the multiobjective multipath adaptive tabu search (mMATS) is proposed. The mMATS is validated against a set of multiobjective test functions, and then applied to design an optimal PID controller of the automatic voltage regulator (AVR) system. As results, the mMATS can provide very satisfactory solutions for all test functions as well as the control application.

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Multiobjective Multipath Adaptive Tabu Search, PID Controller, Metaheuristics, Control System Optimization

Короткий адрес: https://sciup.org/15010742

IDR: 15010742

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