Adaptive Control of Servo Motor in “SOTM”
- https://doi.org/10.2991/caai-18.2018.6How to use a DOI?
- self-tuning PID control, brushless DC motor speed adjustment, recursive least squares algorithm, closed-loop feature polynomial
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/caai-18.2018.6 ID - Xue2018/08 ER -