Dynamic Modeling and Parameter Identification of Flexible Link Manipulator

Jiayu Wang, Yukun Zheng, Song Gao, Kai Guo*, Yixiang Liu, Dongdong Zheng, Rui Song*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Flexible manipulators are extensively utilized in high-speed and heavy-duty applications due to their advantages of light weight, high energy efficiency, and superior dexterity. Nevertheless, their complex dynamic behavior presents signifi-cant challenges for accurate modeling and control. This paper investigates the dynamic modeling and parameter identification of flexible manipulators. A general dynamic model for an n-link flexible manipulator, incorporating structural damping, hub inertia, and payload effects, is developed using the Euler-Lagrange method in conjunction with the Assumed Modes Method (AMM). The least squares method is then employed to determine the set of inertia parameters. For the case of a single-link flexible system, simulations are conducted to assess the system responses in both time and frequency domains, demonstrating that the proposed approach effectively estimates the inertial parameter set with satisfactory accuracy, thus validating the model's correctness and providing a solid foundation for developing precise control strategies for flexible manipulators.

源语言英语
主期刊名2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024
出版商Institute of Electrical and Electronics Engineers Inc.
701-706
页数6
版本2024
ISBN(电子版)9781665481090
DOI
出版状态已出版 - 2024
活动2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024 - Bangkok, 泰国
期限: 10 12月 202414 12月 2024

会议

会议2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024
国家/地区泰国
Bangkok
时期10/12/2414/12/24

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引用此

Wang, J., Zheng, Y., Gao, S., Guo, K., Liu, Y., Zheng, D., & Song, R. (2024). Dynamic Modeling and Parameter Identification of Flexible Link Manipulator. 在 2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024 (2024 编辑, 页码 701-706). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO64047.2024.10907457