Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method
- DOI
- 10.2991/icamcs-16.2016.142How to use a DOI?
- Keywords
- Parameter self-tuning, controller parameters, servo system, variable step size iteration method
- Abstract
In this paper, we study the self-tuning method of the controller parameters of the servo system based on variable step size iteration method. We first introduce the basic knowledge of two degrees of freedom, the design of the initial value of the initial value of two degrees of freedom, and the selection of the objective function and variable step two degree of freedom iteration parameter setting method. And then we study a variable step two degree of freedom iterative self-tuning method. In order to prove the validity of the two degree of freedom iteration method based on the variable step size for the PI controller parameters of the speed loop of the permanent magnet servo system, we conducted a simulation analysis, and we got two degree of freedom before and after iteration speed waveform figure (Figure 3), 2 times rotating inertia speed waveform figure (Fig. 4) and sudden and anticlimax torque waveform figure (Figure 5). And the obtained simulation results are analyzed, and the simulation results show that the PI controller parameters can be effectively adjusted by the method of variable step size two degrees of freedom based on the frequency domain method.
- Copyright
- © 2016, 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 - Gang Wang PY - 2016/06 DA - 2016/06 TI - Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method BT - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science PB - Atlantis Press SP - 698 EP - 703 SN - 2352-5401 UR - https://doi.org/10.2991/icamcs-16.2016.142 DO - 10.2991/icamcs-16.2016.142 ID - Wang2016/06 ER -