Collaborative robot zero moment control for direct teaching based on self-measured gravity and friction

Author:

Chen Saixuan12ORCID,Luo Minzhou234,Jiang Guanwu2,Abdelaziz Omar2ORCID

Affiliation:

1. School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

2. School of Engineering Science, University of Science and Technology of China, Hefei, China

3. Key Laboratory of Special Robot Technology of Jiangsu Province, Hohai University, Changzhou, China

4. Institute of Intelligent Manufacturing Technology, Jiangsu Industrial Technology Research Institute, Nanjing, China

Abstract

The focus of this study is a moment compensation control algorithm driven by a direct current servo motor. Zero moment robot teaching is achieved with a joint moment compensation algorithm. The moment equilibrium equation is derived based on moment compensation. The current signal detected by a Hall effect sensor is multiplied by a torque constant to estimate the torque value of the robot joint. The compensation current is obtained through parameter identification to overcome gravitational and friction torques. The two variables of speed and position are separately controlled, allowing the compensation current of Coulomb friction and viscous friction force to be separated from the compensation current of friction torque. This study presents the system research, design, and development of a high-precision position control theory of a robot zero moment teaching control method. A collaborative robot is used as the test and verification platform to confirm the feasibility and effectiveness of the proposed theoretical method and implementation technology.

Funder

Key Research and Development Plan of Jiangsu Province

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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3. Research on Collision Detection of Collaborative Robot using improved Momentum-based Observer;2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2023-05-19

4. Robot Zero-Moment Control Algorithm Based on Parameter Identification of Low-Speed Dynamic Balance;Computer Modeling in Engineering & Sciences;2023

5. A Self Developed Cooperative Manipulator and Its Zero Force Drag Control;2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM);2022-11-18

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