Adaptive Control of Servo Motor in “SOTM”

DOI

10.2991/caai-18.2018.6How to use a DOI?

Keywords

self-tuning PID control, brushless DC motor speed adjustment, recursive least squares algorithm, closed-loop feature polynomial

Abstract

The traditional brushless DC motor PID Control of double closed loop has a long adjusting time, large overshoot and especially when the motor model parameters have changed , the motor’s control system is unstable. To solve these problems, we propose a speed regulation method based on self-tuning PID control. In the parameter estimator, we use input and output data of the system to identify the corresponding mathematical model according to the recursive least squares algorithm. The design mechanism mainly carries out the solution of the closed-loop feature polynomial, and adjusts the controller parameters adaptively according to the model parameters. Simulation and experimental results show that the proposed control algorithm can effectively overcome the effects of speed and load change, and has the characteristics of fast dynamic response, small overshoot and strong robustness.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaofeng Xue
AU  - Jian Zheng
AU  - Ding Yuan
PY  - 2018/08
DA  - 2018/08
TI  - Adaptive Control of Servo Motor in “SOTM”
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 21
EP  - 25
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.6
DO  - 10.2991/caai-18.2018.6
ID  - Xue2018/08
ER  -