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.2018.5.1.14
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/).