An attitude measurement method of industrial robots based on the inertial technology. Issue 8 (6th August 2022)

• Record Type: Journal Article
• Authors: Li, Rui; Cui, Xiaoling; Lin, Jiachun; Zheng, Yanhong
• Is Part Of: Robotica. Volume 40:Issue 8(2022)
• Page Start: 2909
• Page End: 2931
• Publication Date: 2022-08-06
• Subjects: industrial robot -- inertial technology -- attitude measurement -- error compensation -- fourth-order Runge−Kutta algorithm; Robots -- Periodicals; 629.89205
• DOI: 10.1017/S0263574721002010
• Languages: English
• ISSNs: 0263-5747

Abstract

Abstract: The attitude control error of the robot end-effector directly affects the manufacturing accuracy. The study aims to develop a real-time measurement method of the industrial robot end-effector attitude in the field environment for improving the control accuracy of robot attitude. In this paper, an attitude measurement method of robot end-effector based on the inertial technology was proposed. First, an inertial measurement system was designed, and the measurement parameters and installation errors were calibrated. Then the inertia measurement principle of robot end-effector attitude was explored, and the robot end-effector attitude measurement was realized with the fourth-order Runge−Kutta algorithm. In addition, the influence of the data processing algorithm and sampling frequency on the attitude accuracy was analyzed. Finally, a test platform was built to experimentally explore the proposed inertial measurement method. The inertial measured data were compared with the data obtained with the laser tracker. The measurement accuracy of the inertial measurement method reached 0.15°, which met the accuracy requirements of real-time measurements of robot end-effector attitude in the manufacturing field. The method proposed in this paper is convenient and can realize the real-time attitude measurement of industrial robot. The measurement results can compensate the attitude control error of the robot end-effector and improve the attitude control accuracy of the robot.