控制系统中的微分滤波器。机械手

Leszek Cedro
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引用次数: 2

摘要

本文讨论了微分滤波器在控制算法中的应用。滤波器用于确定输入信号的导数,消除测量和量化噪声。微分滤波器提高了控制质量,其结果优于经典的有限差分法(FDM)。本研究的主要目的是在实时控制算法中使用微分滤波器,这需要适当的导数。控制过程涉及应用基于信号导数的状态变量聚合方法,该方法可用于非线性动态系统。实验是在一个试验台上进行的,试验台上有一个装有电动驱动装置的机械手作为待控制装置。
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Differential filters in control systems - manipulator
The paper discusses the use of differential filters in control algorithms. The filters are designed to determine the derivatives of the input signal and eliminate measuring and quantization noise. The differential filters improved the quality of control, with the results being better than those obtained with the classic Finite Difference Method (FDM). The primary purpose of the study was to employ the differential filters in a real-time control algorithm, which requires appropriate derivatives. The control process involved applying a method of aggregation of state variables, based on signal derivatives, which can be used for non-linear dynamic systems. The experiments were conducted on a test stand with a manipulator equipped with an electric drive acting as the plant to be controlled.
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