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An Improved Adaptive Disturbance Rejection Control Method for the Servo Motor in Robots

  • Xiangyu HuEmail author
  • Ge Yu
  • Shuwei Song
  • Wei Feng
  • Xiangyin Zhang
Conference paper
  • 34 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

The control of permanent magnet synchronous motor is one of the core technologies in robotics. The subject not only requires the servo motor to have good anti-interference performance, but also requires the servo motor to be able to better track the position and follow-up instructions sent by the central processor. Conventional adaptive disturbance rejection control (ADRC) mostly studies the step response and anti-interference performance of the motor, but the tracking performance is seldom studied. In ADRC, the derivative of input is approximately zero, so that the modeling error will be generated by a time-varying input signal. The control algorithm cannot observe and compensate the error through the extended state observer, so the tracking error of the motor is large. An improved ADRC is proposed to solve the tracking error problem of conventional ADRC. The theoretical results show that this method can reduce the tracking error and improve the bandwidth of the motor. Finally, the validity of the method is verified by simulating an experiment.

Keywords

Servo motor Robot Adaptive disturbance rejection control (ADRC) Time-varying input Tracking error 

Notes

Acknowledgements

This work is supported by Shanghai Servo System Engineering Technology Research Center (No. 15DZ2250400) and National Natural Science Foundation of China (No. 61703012).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Xiangyu Hu
    • 1
    • 2
    Email author
  • Ge Yu
    • 1
    • 2
  • Shuwei Song
    • 1
    • 2
  • Wei Feng
    • 1
    • 2
  • Xiangyin Zhang
    • 3
  1. 1.Shanghai Institute of Spaceflight Control TechnologyShanghaiChina
  2. 2.Shanghai Servo System Engineering Technology Research CenterShanghaiChina
  3. 3.Faculty of Information TechnologyBeijing University of TechnologyBeijingChina

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