The dynamic compliance composition of force-based impedance control and its experimental research

被引:0
作者
Yu Bin [1 ,2 ,3 ]
Wang Dongkun [1 ]
Li Wenfeng [1 ]
Liu Yaliang [1 ]
Ba Kaixian [1 ]
Kong Xiangdong [1 ,3 ]
机构
[1] Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310000, Zhejiang, Peoples R China
[3] Hebei Prov Key Lab Heavy Machinery Fluid Power Tr, Qinhuangdao 066004, Hebei, Peoples R China
来源
2017 2ND INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM) | 2017年
关键词
Force-based Impedance Control; The hydraulic drive legged robot; The Dynamic Compliance Composition; ROBOT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The bionic legged robot, driven by hydraulic, has a better ability to operate in different working environment. In order to prevent the robotic foot end from impact and collision during its contact with the ground, it is necessary to design the robotic joint with certain dynamic compliance. Generally speaking, the force based impedance control is a commonly adopted method for active dynamic compliance control in the legged robot's joints. The hydraulic drive unit(HDU), which actuates the joints' motion, is the research object in this paper. Thus, the dynamic compliance composition of force based impedance control is researched and analyzed. Then, aimed at the HDU, the theory of dynamic compliance serial-parallel connection is proposed through the mechanism modeling, equation derivation and theoretical analysis. Finally, the control effect of dynamic compliance control is verified experimentally on the HDU performance test platform. The experiment shows that the dynamic compliance control is capable of enhancing the system dynamic compliance for the HDU position control system and the theory of dynamic compliance serial-parallel connection is also proved. The experimental result contributes to improving the control performance of HDU force control inner loop.
引用
收藏
页码:19 / 24
页数:6
相关论文
共 32 条
[21]   Fuzzy impedance-based control with fast terminal sliding mode force control loop for a series elastic actuator system [J].
Moafi, Seyed Ali ;
Najafi, Farid .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (04) :905-915
[22]   Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints [J].
Xu, Zhihao ;
Li, Xiaoxiao ;
Li, Shuai ;
Wu, Hongmin ;
Zhou, Xuefeng .
NEUROCOMPUTING, 2022, 471 :149-160
[23]   Dead-Zone ESO Based Sensorless Force/Position Control for Dynamic Contact Systems [J].
Wang, Mingchao ;
Yuan, Yuan ;
Yuan, Huanhuan .
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2021, 18 (02)
[24]   Unified Motion/Force/Impedance Control for Manipulators in Unknown Contact Environments Based on Robust Model-Reaching Approach [J].
Lin, Yinjie ;
Chen, Zheng ;
Yao, Bin .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (04) :1905-1913
[25]   Research on robot force control based on RBF neural network stiffness prediction and reinforcement learning [J].
Xiao, Meng ;
Li, Liketing ;
Jin, Haotian ;
Bao, Danyang ;
Huang, Fangting .
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2025,
[26]   Dynamic Analysis and Experimental Research on Anti-Swing Control of Distributed Mass Payload for Marine Cranes [J].
Jin, Guoliang ;
Wang, Shenghai ;
Gao, Yufu ;
Sun, Maokai ;
Chen, Haiquan ;
Sun, Yuqing .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (06)
[27]   Force/Torque-Based Impedance Control With Perturbation Observer-Toward High Payload System Robust Trajectory Tracking [J].
Khan, Hamza ;
Lee, Min Cheol ;
Lee, Jin Won ;
Li, Chengqian ;
Salman, Muhammad .
IEEE ACCESS, 2022, 10 (119150-119161) :119150-119161
[28]   Research on constant force grinding control of aero-engine blades based on extended state observer [J].
Dai, Shijie ;
Zhang, Wenhua ;
Ji, Wenbin ;
Zhao, Yufeng ;
Zheng, Hongwei ;
Mu, Jiaheng ;
Li, Pengwei ;
Deng, Riqing .
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (06) :1077-1088
[29]   Detailed Dynamic Model of Antagonistic PAM System and Its Experimental Validation: Sensorless Angle and Torque Control With UKF [J].
Shin, Takaya ;
Ibayashi, Takumi ;
Kogiso, Kiminao .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (03) :1715-1726
[30]   Perturbation Observer-Based Dynamic Event-Triggered H∞ Impedance Control for Flexible Exoskeletons via Concurrent Learning [J].
Sun, Yaohui ;
Hu, Jiangping ;
Peng, Zhinan ;
Ghosh, Bijoy Kumar .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024,