An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system

B. Muhammad, Dwi Pebrianti, Normaniha Abdul Ghani, Nor Hidayati Abdul Aziz, N. Aziz, M. S. Mohamad, M. I. Shapiai, Z. Ibrahim
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引用次数: 17

Abstract

This paper reports the first attempt to tune gain values in proportional-integral-derivative (PID) controllers using an optimizer called simulated Kalman filter (SKF) algorithm. Compared to another well-established optimizer, such as particle swarm optimization (PSO), the SKF algorithm is a relatively new optimizer and most importantly, the SKF algorithm has not been applied to parameter tuning of PID controller. A finding based on automatic voltage regulator system suggests that the SKF algorithm has promising potentials to be a good tuning method in PID controller.
模拟卡尔曼滤波优化算法在自动调压系统比例-积分-导数控制器参数整定中的应用
本文报道了首次尝试使用一种称为模拟卡尔曼滤波(SKF)算法的优化器来调整比例-积分-导数(PID)控制器的增益值。与粒子群优化(PSO)等优化算法相比,SKF算法是一种相对较新的优化算法,最重要的是,SKF算法尚未应用于PID控制器的参数整定。基于自动调压系统的研究结果表明,SKF算法在PID控制器中具有良好的整定潜力。
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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