Authors
Fengzhi [email protected], Yujie Yan, Baochang Wei, Yuxing Ouyang, Lingran An
College of Electronic Information and Automation, Tianjin University of Science and Technology, China;
www.tust.edu.cn

Available Online 30 June 2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.1.14How to use a DOI?
Keywords
BP neural network; PID control; MATLAB; temperature
Abstract
This paper designs a PID control system based on the BP neural network. The control system can adjust three adjustable parameters of PID controller through BP neural network algorithm. The main steam temperature control system of the thermal power plant was taken as the object, and simulation analysis was performed through MATLAB. The experimental results show that the design scheme has good performance and anti-interference ability, and has certain practicability to the main steam temperature control system of thermal power plant.

Copyright
Copyright © 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).