基于阶数统计滤波的电机调速回路在线去噪

N. Tarhuni, A. Saleem, M. Mesbah
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引用次数: 1

摘要

在实时电机速度测量和控制中,严重的噪声峰值会导致控制回路的性能下降。在这项工作中,我们提出了一种实时滤波机制来减少尖尖噪声的有害影响。采用硬件在环(HIL)实验装置测量电机转速,并采用在线阶数统计滤波来减轻噪声的影响。我们对所应用的在线滤波算法的几个阶数进行了实验测试和评价。我们表明,较大的窗口倾向于增强响应的平滑性,但代价是额外的延迟,当使用反馈控制器时,可能导致振荡响应。对于所实现的系统,我们通过实验表明,5个样本的窗口大小在脉冲噪声抑制和可接受的振荡响应之间实现了很好的折衷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-line denoising of motor speed control loop using order statistics filtering
In real-time motor speed measurements and control, severe noise spikes cause unacceptable performance degradation of the control loop. In this work, we propose a real-time filtering mechanism to reduce the unwanted effects of spiky noise. A Hardware-In-the-Loop (HIL) experimental setup was used to measure the noisy motor speed and an online order statistics filtering was applied to mitigate the effect of the noise. We tested and evaluated experimentally several orders of the applied on-line filtering algorithm. We showed that larger windows tend to enhance the smoothness of the response but at the expense of extra delay that can lead to oscillatory responses when a feedback controller is used. For the implemented system, we showed experimentally that a window size of 5 samples achieves a good compromise between impulsive noise rejection and acceptable oscillatory response.
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