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External force estimation for robotic manipulator base on particle swarm optimization

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成果类型:
期刊论文
作者:
Liu, Huaimin;Wang, Xiangjiang*;Li, Meng
通讯作者:
Wang, Xiangjiang
作者机构:
[Liu, Huaimin; Wang, Xiangjiang] Univ South China, Coll Resource Environm & Safety Engn, Hengyang 421001, Peoples R China.
[Li, Meng] Univ South China, Dept Mech Engn, Hengyang, Peoples R China.
通讯机构:
[Wang, Xiangjiang] U
Univ South China, Coll Resource Environm & Safety Engn, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
Parameter identification;force estimation;particle swarm optimization;sensorless;robotics
期刊:
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
ISSN:
1729-8814
年:
2021
卷:
18
期:
6
基金类别:
The author(s) disclosed the receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Sciences Foundation of China (62071213) and the Scientific Research Fund of Hunan Provincial Education Department (18C0478).
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
The safe disposal of nuclear waste in radioactive environment urgently needs cost-effective approaches. Toward this goal, this article developed a method to external force estimation based on the identified model without force sensors. Firstly, the mathematical model including joint friction was obtained and transformed into the linear combination of unknown parameter to be estimated. Secondly, the unknown parameters were identified based on the improved particle swarm optimization algorithm, the identification procedure was implemented by opti...

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