Simulation of automatic control optimization model based on improved PID algorithm

DOI

10.2991/asei-15.2015.98How to use a DOI?

Keywords

improved PID algorithm; automatic control; stability;

Abstract

the stable control for industrialization automatic control system is the key for stable working of automatic control system. In the process of automatic control with the traditional algorithm, the influence of the outside interference factor to the automatic control system is not considered, thus, the stability of the automatic control system is reduced. An automatic control method based on improved PID algorithm is proposed. The control principle of the PID algorithm is analyzed, the controlled quantity is regarded as variables, using neural network algorithm to optimize PID algorithm, through training and learning of neural network to change the stability of PID control algorithm. The simulation results show that the improved algorithm can improve the stability of the automatic control system, and the effect is satisfactory.

Copyright

© 2015, 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  - Yong Liu
PY  - 2015/05
DA  - 2015/05
TI  - Simulation of automatic control optimization model based on improved PID algorithm
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 485
EP  - 489
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.98
DO  - 10.2991/asei-15.2015.98
ID  - Liu2015/05
ER  -