Deacha Puangdownreong

Multiobjective Multipath Adaptive Tabu Search for Optimal PID Controller Design

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Author(s)

Deacha Puangdownreong ^1,*

1. Department of Electrical Engineering, South-East Asia University, Bangkok, Thailand

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2015.08.07

Received: 10 Jan. 2015 / Revised: 11 Mar. 2015 / Accepted: 3 Apr. 2015 / Published: 8 Jul. 2015

Index Terms

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

Abstract

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.

Cite This Paper

Deacha Puangdownreong, "Multiobjective Multipath Adaptive Tabu Search for Optimal PID Controller Design", International Journal of Intelligent Systems and Applications(IJISA), vol.7, no.8, pp.51-58, 2015. DOI:10.5815/ijisa.2015.08.07

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