APPLICATION OF MODEL-REFERENCED ADAPTIVE-CONTROL TO ROBOTIC MANIPULATORS

被引:132
作者
DUBOWSKY, S
DESFORGES, DT
机构
[1] School of Engineering and Applied Sciences, University of California, Los Angeles, CA
[2] Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA
来源
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 1979年 / 101卷 / 03期
关键词
D O I
10.1115/1.3426424
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The achievement of quality dynamic performance in manipulator systems is difficult using conventional control methods because of both the inherent geometric nonlinearities of these systems and the dependence of the system dynamics on the characteristics of manipulated objects. A model-referenced adaptive control law is developed for maintaining uniformly good performance over a wide range of motions and pay loads. The effectiveness of the approach is demonstrated in several simulations and the system stability as a function of input is investigated. Also developed is a learning signal approach designed to minimize initial transients arising from abrupt changes in the inertial payload. © 1979 ASME.
引用
收藏
页码:193 / 200
页数:8
相关论文
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