Research on Force/Position Hybrid Control Method for Cooperative Polishing of Dual Robots Based on Adaptive Impedance

被引:0
作者
Jiang, Xiaoyan [1 ]
Zhou, Zhen [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Mech & Automot Engn, Shanghai, Peoples R China
来源
2024 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY AND INTELLIGENT MANUFACTURING, ICMTIM 2024 | 2024年
关键词
component; Dual robot; Publishing; Impedance control; FORCE;
D O I
10.1109/ICMTIM62047.2024.10629450
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The collaboration of industrial robots in multiple-machine settings enhances adaptability for complex component machining. This paper focuses on a cooperative polishing system composed of two industrial robots. Addressing the challenge of maintaining a constant polishing force on the surface of a hub, we propose a dual robot cooperative polishing force/position hybrid control method based on an adaptive impedance control strategy. Recognizing the significant steady-state error in force tracking under unknown environmental changes in traditional impedance control, our approach involves the real-time adjustment of impedance parameters by adapting to variations in environmental stiffness, position, and other factors. This enables accurate and stable tracking of the desired polishing force. Simulation results validate the robustness of the proposed control algorithm against environmental changes. Additionally, practical experiments on dual robot cooperative polishing force control confirm that the adaptive impedance control strategy efficiently tracks the desired force, enhancing both polishing efficiency and quality.
引用
收藏
页码:457 / 462
页数:6
相关论文
共 50 条
[41]   Position-based impedance control for force tracking of a wall-cleaning unit [J].
Taegyun Kim ;
Hwa Soo Kim ;
Jongwon Kim .
International Journal of Precision Engineering and Manufacturing, 2016, 17 :323-329
[42]   Robotic Time-Varying Force Tracking in Position-Based Impedance Control [J].
Xu, Wenkang .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2016, 138 (09)
[43]   Position-based Impedance Control for Force Tracking of a Wall-Cleaning Unit [J].
Kim, Taegyun ;
Kim, Hwa Soo ;
Kim, Jongwon .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2016, 17 (03) :323-329
[44]   Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion [J].
Jiang, Yiming ;
Wang, Yaonan ;
Miao, Zhiqiang ;
Na, Jing ;
Zhao, Zhijia ;
Yang, Chenguang .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (03) :1010-1021
[45]   A comparison between robust and adaptive hybrid position force control schemes for hydraulic underwater manipulators [J].
Lane, DM ;
Dunnigan, MW ;
Clegg, AC ;
Dauchez, P ;
Cellier, L .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 1997, 19 (02) :107-116
[46]   Task-Oriented Adaptive Position/Force Control for Robotic Systems Under Hybrid Constraints [J].
Ding, Shuai ;
Peng, Jinzhu ;
Xin, Jianbin ;
Zhang, Hui ;
Wang, Yaonan .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (10) :12612-12622
[47]   Decentralized adaptive force/position control of reconfigurable manipulator based on soft sensors [J].
Du, Yanli ;
Zhu, Quanmin .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2018, 232 (09) :1260-1271
[48]   An Environment-Adaptive Position/Force Control Based on Physical Property Estimation [J].
Kitamura, Tomoya ;
Saito, Yuki ;
Asai, Hiroshi ;
Ohnishi, Kouhei .
IEEE ACCESS, 2025, 13 :34200-34210
[49]   Research on Impedance Control Method of Legged Robot with Gait and Load Adaptive Capability [J].
Zhang, Cong ;
Shen, Kaixin ;
Wei, Qing ;
Ma, Hongxu .
2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, :2074-2079
[50]   Research on Position-based impedance control in Cartesian space of robot manipulators [J].
Lv Bohan ;
Zhao Xinying ;
Zhong Yue ;
Zeng Guangshang .
2019 2ND WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2019), 2019, :549-551