Adaptive time delay control for cable-driven manipulators using fuzzy logic algorithm

Author:

Yan Fei1ORCID,Wang Yaoyao12ORCID,Ju Feng1,Chen Bai1ORCID,Wu Hongtao1

Affiliation:

1. National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China

Abstract

A new adaptive time delay estimation technique with sliding mode control method is proposed and investigated in this passage for cable-driven manipulators. Time delay estimation technique is an effective tool to compensate for unmodeled dynamics and unknown disturbance, and adaptive time delay estimation performs better due to its adaptive control gain. The proposed adaptive method is based on the fuzzy logic algorithm which has a great advantage in input–output mapping thank to its flexibility. Tuning procedure is addressed to reveal the implementation of the newly proposed algorithm. Moreover, the desired trajectory is taken as an input of adaptive algorithm and better control performance is obtained through this attempt. The proposed controller is ultimately uniformly bounded and proof using the Lyapunov method is provided. Finally, comparative experiments show the validity and effectiveness of the proposed controller.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

nanjing university of aeronautics and astronautics

National Key Research and Development Program of China

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2022-06-04

2. Adaptive Fractional-order Non-singular Fast Terminal Sliding Mode Control Based on Fixed Time Observer;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2022-03-29

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