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PSO gain tuning for position domain PID controller

机译:位置域PID控制器的PSO增益调整

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摘要

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.
机译:粒子群优化(PSO)是一种启发式优化算法,通常用于传统PID控制器的增益调整。在本文中,PSO用于我们先前开发的用于轮廓跟踪的位置域PID控制器的增益调整。提出了一种新的适应度函数,用于基于轮廓误差的统计信息进行增益调整,并且还使用预先存在的适应度函数进行优化。 PSO整定技术在位置域中表现出与时域控制器相同的效果,其结果对于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现有的适应度相当功能。

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