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A Novel Recursive Algorithm for the Implementation of Adaptive Robot Controllers

delete2024-08-01
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OA
AI
M
Mertcan Kaya *
M
Mehmet Ali Akbulut
Z
Zeki Y. Bayraktaroglu
K
Kolja Kühnlenz
DOI:10.1007/s10846-024-02135-xdelete
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摘要

摘要

En 中文
In this paper, a novel recursive and efficient algorithm for real-time implementation of the adaptive and passivity-based controllers in model-based control of robot manipulators is proposed. Many of the previous methods on these topics involve the computation of the regressor matrix explicitly or non-recursive computations, which remains as the main challenge in practical applications. The proposed method achieves a compact and fully recursive reformulation without computing the regressor matrix or its elements. This paper is based on a comprehensive literature review of the previously proposed methods, presented in a unified mathematical framework suitable for understanding the fundamentals and making comparisons. The considered methods are implemented on several processors and their performances are compared in terms of real-time computational efficiency. Computational results show that the proposed Adaptive Newton-Euler Algorithm significantly reduces the computation time of the control law per cycle time in the implementation of adaptive control laws. In addition, using the dynamic simulation of an industrial robot with 6-DoF, trajectory tracking performances of the adaptive controllers are compared with those of non-adaptive control methods where dynamic parameters are assumed to be known.
Keyword:
Adaptive control
Real-time control
Recursive algorithm
Robot manipulators

期刊

J
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
IF:
2.8
论文数:
3.9K
被引数:
6.9K

机构

K
Klinikum Coburg
学者数:
352
论文数: 291
被引数: 207
I
Istanbul Technical University
学者数:
8.9K
论文数: 7.8K
被引数: 7.9K
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