Precise and smooth contact force control for a hybrid mobile robot used in polishing

被引:17
|
作者
Xie, Fugui [1 ,2 ]
Chong, Zenghui [1 ]
Liu, Xin-Jun [1 ,2 ]
Zhao, Huichan [1 ,2 ]
Wang, Jinsong [1 ]
机构
[1] Tsinghua Univ, Dept Mech Engn DME, State Key Lab Tribol Adv Equipment, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Beijing Key Lab Precis Ultraprecis Mfg Equipments, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Active force control; Hybrid mobile robot; Force tracking error model; Nonlinear tracking differentiator; Adaptive variable impedance control; IMPEDANCE CONTROL; ADMITTANCE CONTROL; MANIPULATION; TRACKING;
D O I
10.1016/j.rcim.2023.102573
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Contact force is dominant in robotic polishing since it directly determines the material removal. However, due to the position and stiffness disturbance of mobile robotic polishing and the nonlinear contact process between the robot and workpiece, how to realize precise and smooth contact force control of the hybrid mobile polishing robot remains challenging. To solve this problem, the force tracking error is investigated, which indicates that the force overshoot mainly comes from the input step signal and the environmental disturbance causes force tracking error in stable state. Accordingly, an integrated contact force control method is proposed, which combines feedforward of the desired force and adaptive variable impedance control. The nonlinear tracking differentiator is used to smooth the input step signal of the desired force for force overshoot reduction. Through modeling of the force tracking error, the adaptive law of the damping parameter is established to compensate disturbance. After theoretical analysis and simulation verification, the polishing experiment is carried out. The improvement in force control accuracy and roughness of the polished surface proves the effectiveness of the proposed method. Sequentially, the proposed method is employed in the polishing of a 76-meter wind turbine blade. The measurement result indicates that the surface roughness after mobile robotic polishing is better than Ra1.6. The study provides a feasible approach to improve the polishing performance of the hybrid mobile polishing robot.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Hybrid vision-force control for robot with uncertainties
    Zhao, Y
    Cheah, CC
    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 261 - 266
  • [42] LEARNING HYBRID FORCE AND POSITION CONTROL OF ROBOT MANIPULATORS
    JEON, D
    TOMIZUKA, M
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1993, 9 (04): : 423 - 431
  • [43] Hybrid joint/force control for constrained robot systems
    Jing, Haying
    Xu, Xinhe
    Xie, Xukai
    Dongbei Daxue Xuebao/Journal of Northeastern University, 1998, 19 (01): : 59 - 61
  • [44] An optimization algorithm for hybrid control of robot force/position
    Sun Haibo
    Zhang Qiuhao
    5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT 2017), 2017, : 67 - 70
  • [45] Contact force detection and control for robotic polishing based on joint torque sensors
    Yunfei Dong
    Tianyu Ren
    Kui Hu
    Dan Wu
    Ken Chen
    The International Journal of Advanced Manufacturing Technology, 2020, 107 : 2745 - 2756
  • [46] Contact force control and vibration suppression in robotic polishing with a smart end effector
    Chen Fan
    Zhao Huan
    Li Dingwei
    Chen Lin
    Tan Chao
    Ding Han
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2019, 57 : 391 - 403
  • [47] Contact force detection and control for robotic polishing based on joint torque sensors
    Dong, Yunfei
    Ren, Tianyu
    Hu, Kui
    Wu, Dan
    Chen, Ken
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (5-6): : 2745 - 2756
  • [48] Precise Force Control for Contact with Flexible Object Considering Environmental Dynamics
    Kurumatani, Hiroki
    Katsura, Seiichiro
    2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2017, : 172 - 177
  • [49] Hybrid fault adaptive control of a wheeled mobile robot
    Ji, M
    Zhang, Z
    Biswas, G
    Sarkar, N
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2003, 8 (02) : 226 - 233
  • [50] Verification hybrid control of a wheeled mobile robot and manipulator
    Muszynska, Magdalena
    Burghardt, Andrzej
    Kurc, Krzysztof
    Szybicki, Dariusz
    OPEN ENGINEERING, 2016, 6 (01): : 64 - 72