基于三阶粒子群优化的自动电压调节器PID系数设计

H. Kang, Min Woo Kwon, H. Bae
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引用次数: 2

摘要

本文提出了一种新的三阶粒子群优化算法。原始粒子群具有位置矢量和速度矢量。然而,该算法有三个矢量:即位置矢量、速度矢量和加速度矢量。由所提出的粒子群算法得到了三阶差分方程,并由此得到了四个参数的收敛区域。采用PSO算法在收敛区域附近设置4个合适的参数,设计自动调压器的PID系数。结果表明,该算法在自动稳压器的PID设计中具有比原粒子群算法更好的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PID coefficient designs for the automatic voltage regulator using a new third order particle swarm optimization
In this paper, we present a new third order particle swarm optimization. The original PSO has position and velocity vectors. However, the proposed algorithm has three vectors: i.e. a position vector, a velocity vector and an acceleration vector. From the proposed PSO, we obtain the third order difference equation and from the equation we obtain the convergence region for four parameters. By setting four appropriate parameters near the convergence region with the proposed PSO algorithm, we design PID coefficients for the automatic voltage regulators. We show that the proposed algorithm has better performance than the original PSO for the PID design of automatic voltage regulators
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