一种用于高精度运动控制的简单线性速度估计器

Yuxin Su, C. Zheng, P. Müller
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引用次数: 4

摘要

高质量的低速运动控制要求精确的位置和速度信号。然而,从唯一的位置测量中基于简单数值微分的速度估计可能是非常错误的,特别是在低速区域。提出了一种基于高质量瞬时速度估计的简单线性速度估计方法。该估计器是基于速度属于位置和速度这一运动量链的特点而构造的,在有噪声的情况下,数值积分比数值微分能提供更稳定、更准确的估计结果。该算法的主要优点是在低速范围内非常有效,对噪声具有很高的鲁棒性,并且易于实现,计算简单。进行了大量的仿真和实验测试,以验证所提出方法的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simple Linear Velocity Estimator for High-Precision Motion Control
High-quality low speed motion control calls for precise position and velocity signals. However, velocity estimation based on simple numerical differentiation from the only position measurement may be very erroneous, especially in the low-speed regions. A simple linear velocity estimator is proposed based for high-quality instantaneous velocity estimation, on position measurements only. The proposed estimator is constructed based on the fact that velocity belongs to the chain of kinematic quantities: position and velocity, and numerical integration can provide more stable and accurate results than numerical differentiation in the presence of noise. The main attraction of the new algorithm is that it is very effective as well as in low-speed ranges, high robustness against noise, and easy to implement with simple computation. Both extensive simulations and experimental tests have been performed to verify the effectiveness and efficiency of the proposed approach.
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