用MOGA进行摆装置关节位置调节的PID整定

David Alonso Pimienta Berrelleza, J. Sandoval, Marco Antonio Castro Liera, Iliana Castro Liera
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引用次数: 0

摘要

本文提出了一种应用多目标遗传算法(MOGA)进行PID整定的方法,该方法能够在不超过电机标称电压的情况下,在摆与伺服电机的联合位置调节中获得良好的性能。采用积分平方误差和积分时间平方误差作为优化指标计算性能。由于电机标称电压对控制器的性能以及关节位置的超调响应起着关键作用,因此我们的建议的新颖之处在于我们将电压幅值和超调响应作为附加的性能指标。在商用摆装置上进行了实验验证,并与其他两种PID整定方法进行了比较,验证了该方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PID tuning using MOGA for joint position regulation of a pendular device
This paper presents an application of the Multi-Objective Genetic Algorithm (MOGA) for PID tuning capable of achieving good performance in the joint position regulation of a pendulum coupled to a servo-motor, and without exceed the motor nominal voltage. The performance is calculated using optimization indices as integral square error and integral time square error. Since the motor nominal voltage plays a key role in the performance of the controller, as well as the overshoot response of the joint position, the novelty of our proposal is that we have added the voltage magnitude and the overshoot response as additional performance indices. Experimental results on a commercial pendular device are presented to validate the proposed scheme, and a comparison is carried out with two other PID tuning methods to test its superiority.
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