Research on PID Neural Network Control System of Temperature for Agricutural Film Unit

DOI

10.2991/iccsee.2013.774How to use a DOI?

Keywords

PID ANN, Agricultural film, Dynamic model

Abstract

The temperature of agricultural film unit affects the plastic film directly. Since unit heating process has the characters of time delay, nonlinear, time-varying and strong coupling. It is difficult to create a mathematical model structure of plastic melting process. Thus, temperature control is very difficult. This paper presents decoupling control strategy and corresponding control algorithm based on PID (proportional- Integral- differential) neural network. Proportional, integral, differential neurons form a three-layer neural network. This design gives full play to respective advantages of PID control and neural network, and takes advantage of BP neural network to establish the dynamic model of system.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Yue Feng
AU  - Meixia Qiao
AU  - Shuai Zheng
PY  - 2013/03
DA  - 2013/03
TI  - Research on PID Neural Network Control System of Temperature for Agricutural Film Unit
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 3006
EP  - 3009
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.774
DO  - 10.2991/iccsee.2013.774
ID  - Feng2013/03
ER  -