Research on PID Neural Network Control System of Temperature for Agricutural Film Unit
Yue Feng, Meixia Qiao, Shuai Zheng
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.774How to use a DOI?
- PID ANN, Agricultural film, Dynamic model
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/iccsee.2013.774 ID - Feng2013/03 ER -