PSO gain tuning for position domain PID controller

V. Pano, P. Ouyang
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引用次数: 5

Abstract

Particle swarm optimization (PSO) is a heuristic optimization algorithm and commonly used for gain tuning of traditional PID controllers. In this paper, PSO is used for gain tuning of our previous developed position domain PID controller for contour tracking. A new fitness function is proposed for gain tuning based on the statistics of the contour error, and pre-existed fitness functions are also used for the optimization. The PSO tuning technique demonstrated the same effectiveness in position domain as in time domain controllers with the results being quite satisfying with low contour errors for both linear and nonlinear contours, and the proposed fitness function is proved to be on par with the pre-existed fitness functions.
位置域PID控制器的粒子群增益整定
粒子群优化算法是一种启发式优化算法,通常用于传统PID控制器的增益整定。本文采用粒子群算法对已有的位置域PID控制器进行增益整定。在统计轮廓误差的基础上,提出了一种新的适应度函数进行增益调整,并利用已有的适应度函数进行优化。粒子群整定技术在位置域的效果与在时域控制器中的效果相同,对线性和非线性轮廓都具有较低的轮廓误差,并且所提出的适应度函数与已有的适应度函数相当。
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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