FA-Based Optimal PIDA Controller Design for AVR System

D. Puangdownreong, Somchai Sumpunsri, Montri Sukchum, C. Thammarat, S. Hlangnamthip, A. Nawikavatan
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引用次数: 7

Abstract

Firefly algorithm (FA) was firstly proposed by Yang in 2008 as one of the most powerful population-based metaheuristic optimization techniques for solving the hardest optimization problems including real-world engineering practices. In this paper, the FA is applied to design an optimal proportional-integral-derivative-accelerated (PIDA) controller for the automatic voltage regulator (AVR) system. Based on the optimization context, the sum-squared errors between referent input voltage and actual terminal output voltage of the controlled system are performed as the objective function to be minimized. As results, the optimum PIDA controller for the AVR system is successfully obtained by the FA. Moreover, the FA-based design approach performs high robustness once parameter variations are occurred.
基于fa的AVR系统最优PIDA控制器设计
萤火虫算法(FA)最早由Yang在2008年提出,是最强大的基于种群的元启发式优化技术之一,用于解决包括现实世界工程实践在内的最难优化问题。本文将遗传算法应用于自动调压器(AVR)系统的比例-积分-导数-加速(PIDA)控制器的设计。在此优化背景下,将被控系统的参考输入电压与实际终端输出电压的误差平方和作为最小化的目标函数。结果表明,该算法成功地获得了AVR系统的最优PIDA控制器。此外,当参数发生变化时,基于fa的设计方法具有很高的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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