• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2022, Vol. 58 ›› Issue (14): 62-70.doi: 10.3901/JME.2022.14.062

Previous Articles     Next Articles

High-precision Closed-loop Robust Control of Industrial Robots Based on Disturbance Observer

ZHANG Zekun1,2, GUO Kai1,2, SUN Jie1,2   

  1. 1. School of Mechanical Engineering, Shandong University, Jinan 250061;
    2. Key Laboratory of High-efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061
  • Received:2021-06-06 Revised:2022-02-28 Online:2022-07-20 Published:2022-09-07

Abstract: Industrial robots have high repeatable positioning accuracy but their absolute positioning accuracy is relatively low, which limits their application in high-precision machining. Traditional methods to improve absolute positioning accuracy include geometric parameter calibration and off-line error compensation, but their absolute positioning error is hundreds of microns and cannot meet the requirements. Online compensation is a more effective method, but most of the relevant researches are based on simple PID control, which is difficult to achieve accurate trajectory tracking in complex conditions. Thus, a high-precision robust control method is proposed to improve the control precision and robustness in online compensation. The method uses a laser tracker to measure the robot's terminal position in real time and identifies the external disturbance through a second-order disturbance observer. On this basis, a sliding mode controller is designed to complete the robot's robust control. The boundness of observation error of disturbance observer and the asymptotic stability of closed-loop system are proved by Lyapunov method. The proposed method is validated on a COMAU robot, experimental results show that the root-mean-square value of tracking error module in Cartesian space is 0.037 mm when the proposed control method is used for online compensation, which is only 39% of PID based online compensation method.

Key words: industrial robot, online compensation, disturbance observer, sliding mode control

CLC Number: