Parameter Identification in Mechanical Systems with Energy-Based Regressor: Preliminary Study

A. Sabirova, Simeon Nedelchev, I. Gaponov
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Abstract

Parameter estimation in physical systems is an important area of modern engineering and robotics. This paper discusses parameter identification in linear, time-invariant mechanical systems based on their energy. The described approach employs system’s regressor derived from the energy equation with subsequent least-squares estimation. This method has been evaluated experimentally on a single degree-of-freedom pendulum and demonstrated high accuracy and quick parameter convergence, while not suffering from the drawbacks of conventional dynamics-based identification.
基于能量回归器的机械系统参数辨识:初步研究
物理系统参数估计是现代工程和机器人技术的一个重要领域。本文讨论了基于能量的线性定常机械系统参数辨识问题。所描述的方法采用由能量方程导出的系统回归量和随后的最小二乘估计。该方法已在单自由度摆上进行了实验验证,结果表明该方法精度高,参数收敛速度快,且不存在传统的基于动力学的辨识方法的缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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