超越反共振控制运动平台

E. Ari, E. Kocaoglan
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引用次数: 0

摘要

摘要在运动平台的控制中,伺服电机和反馈传感器一般是不共存的。因此,在速度模式下控制系统通常会发生机械反谐振。这种反谐振阻碍了控制器的设计,因为系统的开环增益严重降低。在这项研究中,提出了一种基于自循环小波神经网络(SRWNNs)的新方法,以鲁棒方式重新塑造开环对象的反谐振行为。通过仿真和实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling A Motion Platform Beyond Its Anti-Resonance
Abstract In controlling motion platforms, the servo motor and the feedback sensor are in general, not co-located. Hence, there usually happens to be a mechanical anti-resonance in controlling the system in velocity mode. This anti-resonance hinders the controller design as the open-loop gain of the system is severely reduced. In this study, a novel approach based on self-recurrent wavelet neural networks (SRWNNs) has been proposed in order to re-shape the anti-resonance behavior of the open-loop plant in a robust manner. The approach has been verified both using simulations and experiments.
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