Simulation of Main Steam Temperature Control System Based on Neural Network
- 10.2991/jrnal.2018.5.1.14How to use a DOI?
- BP neural network; PID control; MATLAB; temperature
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 © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Cite this article
TY - JOUR AU - Fengzhi Dai AU - Yujie Yan AU - Baochang Wei AU - Yuxing Ouyang AU - Lingran An PY - 2018 DA - 2018/06/30 TI - Simulation of Main Steam Temperature Control System Based on Neural Network JO - Journal of Robotics, Networking and Artificial Life SP - 63 EP - 66 VL - 5 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.1.14 DO - 10.2991/jrnal.2018.5.1.14 ID - Dai2018 ER -