AUTHORS: Somchai Sumpunsri, Auttarat Nawikavatan, Deacha Puangdownreong

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ABSTRACT: In 2008, the firefly algorithm (FA) was firstly proposed as one of the most powerful populationbased metaheuristic optimization techniques for solving continuous and combinatorial optimization problems. However, many real-world engineering problems are typically formulated as the multiobjective optimization problems with complex constraints. In this paper, the Lévy-flight firefly algorithm (LFA) is applied to simultaneously minimize two particular objective functions, i.e. rise time and maximum overshoot, in order to obtain the optimal PIDA controllers for the automatic voltage regulator (AVR) system. As results, it was found that the LFA can provide the optimal PIDA controllers according to the predefined objective and constraint functions. Moreover, the LFA can perform the optimal Pareto front containing the optimal PIDA controllers for the AVR system.

KEYWORDS: Lévy-Flight Firefly Algorithm, PIDA Controller, AVR System, Muitiobjective Optimization

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