Adaptive Vibration Reduction Control Strategy for 3-DOF Parallel Energy-Efficient Stabilization Robotic Systems

Shaokun Yang*, Junzheng Wang, Wei Shen, Dongchen Liu, Qianye Lin

*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

The parallel energy-efficient stabilization robotic systems are well-suited for large-load vibration reduction and stabilization operations. However, challenges arise, including uncertainties in environmental parameters, nonlinear disturbances in pneumatic structures, and limitations in dynamic vibration reduction performance during vibration control. We propose a reference trajectory compensation approach based on dynamic pneumatic cylinder stiffness compensation and environmental parameter estimation to tackle the tracking force error problem in vibration reduction control. Additionally, dynamic adjustments are made through an adaptive damping parameter adjuster to enhance the dynamic performance of vibration reduction. The results indicate that the proposed vibration reduction control strategy effectively resolves the tracking force problem and achieves superior outcomes compared to the basic impedance control strategy in vibration reduction control.

源语言英语
主期刊名2024 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
出版商IEEE Computer Society
7-12
页数6
ISBN(电子版)9798350344639
DOI
出版状态已出版 - 2024
活动20th IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024 - Hong Kong, 中国
期限: 20 5月 202422 5月 2024

出版系列

姓名Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN(印刷版)2162-7568
ISSN(电子版)2162-7576

会议

会议20th IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
国家/地区中国
Hong Kong
时期20/05/2422/05/24

指纹

探究 'Adaptive Vibration Reduction Control Strategy for 3-DOF Parallel Energy-Efficient Stabilization Robotic Systems' 的科研主题。它们共同构成独一无二的指纹。

引用此