在机械装置的自适应控制中使用截短关节速度和简单的均匀程序

J. Tar, I. Rudas, K. Kozlowski, L. Horváth
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引用次数: 4

摘要

本文简要报告了一种新方法的最新改进,该方法用于控制与未建模环境动态相互作用下的近似和部分已知的多变量、非线性、强耦合机械系统。该方法采用简单统一的结构和标准的程序。与传统的方法不同,这些特殊的结构来源于拉格朗日力学的数学框架,而不是Kolmogorov近似定理。这大大降低了建模的复杂性,因为只需知道要控制的系统的自由度就可以得到可调参数的数量。这一事实简化了参数调整或“学习”。进一步的优点是,在这里使用的结构中,可以避免绝大多数的“缩放”问题。通过对一个3自由度SCARA机器人的仿真结果说明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use of truncated joint velocities and simple uniformed procedures in an adaptive control of mechanical devices
This paper is a brief report on the recent improvement of a novel approach for the control of approximately and partially known multivariable, nonlinear, strongly coupled mechanical systems under dynamic interaction with an unmodeled environment. This method uses simple uniform structures and standard procedures. In contrast to the traditional approaches, instead of Kolmogorov's approximation theorem, these special structures originate from the mathematical framework of the Lagrangian mechanics. This results in a considerable reduction of modeling complexity since the number of the tunable parameters can be derived by knowing only the degree of freedom of the system to be controlled. This fact simplifies parameter tuning or "learning". Further advantage is that the great majority of "scaling" problems can be avoided in the case of the structures used here. The operation of the method is illustrated by simulation results developed for a 3 degree-of-freedom SCARA robot.
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