位移谐波伺服扰动的混合自适应补偿

H.C. Chen, J. Wander
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引用次数: 0

摘要

作者考虑了具有齿轮传动的伺服系统,它可以经历显著的扰动力,这些扰动力在位移上是周期性的。他们假设已知的空间频率,并利用这些知识来减少估计干扰所需的参数数量。通过在采样数据形式中实现的连续时间干扰模型(混合估计),加速了对干扰的部分知识的使用。然后使用估计的干扰产生前馈补偿信号,该信号被添加到反馈控制信号中以改善系统性能。在进行参数估计时遇到的一个困难是给定简单谐波输入时,参数随时间变化的趋势。这种趋势可以通过平均来减小,但是对参数变化的敏感性就丧失了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid adaptive compensation for servo disturbances harmonic in displacement
The authors consider servo systems with geared transmissions, which can experience significant disturbance forces that are periodic in displacement. They assume known spatial frequencies and use this knowledge to reduce the number of parameters required for estimating the disturbance. Use of this partial knowledge of the disturbance is expedited by a continuous-time disturbance model implemented in a sampled data form (hybrid estimation). The estimated disturbance is then used to generate a feedforward compensation signal that is added to a feedback control signal to improve system performance. A difficulty encountered in performing the parameter estimation is the tendency of the parameters to vary with time given simple harmonic inputs. This tendency can be reduced by averaging but sensitivity to parameter variation is lost.
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