Performance Evaluation of Force Control and Reaction Force Estimation in Force Sensorless Hybrid Control for Workspace Based Controller

被引:2
|
作者
Shimamoto, Keita [1 ,2 ]
Murakami, Toshiyuki [3 ]
机构
[1] YASKAWA Elect Corp, Tsukuba Res Lab, Ibaraki, Japan
[2] Keio Univ, Grad Sch Sci & Technol, Yokohama, Kanagawa, Japan
[3] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa, Japan
关键词
Force control; Force estimation; Disturbance Observer; Interference; MOTION CONTROL; ROBOT;
D O I
10.1109/AMC51637.2022.9729321
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the performance evaluation of force control and reaction force estimation in force sensorless workspace-based hybrid control for multi-degrees-of freedom (MDOF) robots. There are two reaction force estimation methods. One is reaction force observer (RFOB) in the workspace, and the other is reaction torque observer (RTOB) in joint coordinate space with coordinate transformation. Considering the characteristics of the machine dynamics, the workspacebased controller uses the equivalent mass matrices. As RFOB and RTOB use these matrices, the estimation accuracy depends on the accuracy of these matrices. Conventionally, workspacebased control characteristics in MODF control systems have been considered based on one-degree-of-freedom control systems or human-in-the-loop teleoperation systems. In this paper, equations and experimental results show how the setting of the equivalent mass matrix affects the interference and estimation error in MDOF hybrid control systems focusing on rubbing motion for polishing or wiping.
引用
收藏
页码:231 / 236
页数:6
相关论文
共 50 条
  • [41] High-Performance Sensorless Injection Force Control Based on Nonlinear Friction Phenomenon
    Furusawa, Ryo
    Asai, Tetsuya
    Ohishi, Kiyoshi
    Majima, Katsuyuki
    Kageyama, Koichi
    Takatsu, Masaru
    Urushihara, Shiro
    IECON 2010: 36TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,
  • [42] Operability evaluation of manual operation control for force-sensorless cart
    Sato, Ryuki
    Nishida, Ryuga
    Hara, Susumu
    Okuda, Hiroyuki
    Nagatsuka, Mitsuru
    Tsuji, Masahiko
    Suzuki, Tatsuya
    MECHATRONICS, 2024, 100
  • [43] Application of Internal Model Control to Sensorless Force Control on Surfaces
    Suzuki, Ryoichi
    Yoshita, Tetsuro
    Steurer, Bjoern
    Kobayashi, Nobuaki
    IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS, 2008, : 49 - 54
  • [44] Biped Walking Control Based on Hybrid Position/Force Control
    Buschmann, Thomas
    Lohmeier, Sebastian
    Ulbrich, Heinz
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 3019 - 3024
  • [45] Force Estimation and Control Enhanced by a Force-Derivative Sensor
    Lu, Yu-Sheng
    Chen, Liang-Hao
    PROCEEDINGS OF THE IUTAM SYMPOSIUM ON OPTIMAL GUIDANCE AND CONTROL FOR AUTONOMOUS SYSTEMS 2023, 2024, 40 : 3 - 19
  • [46] Adaptive Position/Force Control of Robot Manipulators with Force Estimation
    Homayounzade, Mohamadreza
    Keshmiri, Mehdi
    2014 SECOND RSI/ISM INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2014, : 736 - 741
  • [47] High-Performance Sensorless Force Control Using Superior Wideband and Periodicity-Cancellation Force Observer
    Phuong, Thao Tran
    Ohishi, Kiyoshi
    Yokokura, Yuki
    IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2023, 12 (04) : 773 - 785
  • [48] Sensorless contact force estimation and robust impedance control for a quadrotor manipulation system
    Khalifa, Alaa
    Fanni, Mohamed
    Khalifa, Ahmed
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [49] Force Sensorless Force Control Using Notch-Type Dual Disturbance Observer
    Kamiya, Naoki
    Ohishi, Kiyoshi
    Yokokura, Yuki
    Miyazaki, Toshimasa
    2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2019, : 504 - 509
  • [50] Sensorless Force Control of Automated Grinding/Deburring Using an Adjustable Force Regulation Mechanism
    Kuo, Yu-Ling
    Huang, Sheng-Yuan
    Lan, Chao-Chieh
    2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 9489 - 9495