A Method for the Measurement of Temperature Based on Neural Network PID

DOI

10.2991/iwmecs-18.2018.83How to use a DOI?

Keywords

BP neural network, temperature control, PID control

Abstract

Environment for plant growth is difficult to establish precise mathematical model. The conventional control methods are difficult to be well controlled, and put forward a neural network PID control temperature on the growth environment of plant. In this paper, taking the lettuce as an example, using MATLAB to simulate the PID control and PID control of BP neural network, the results proved that PID control of BP neural network has small overshoot, fast response speed and good stability compared with the traditional PID control, and better controlled temperature changing with the target temperature.

Copyright

© 2018, 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/).

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TY  - CONF
AU  - Gaoli Chen
PY  - 2018/04
DA  - 2018/04
TI  - A Method for the Measurement of Temperature Based on Neural Network PID
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 387
EP  - 390
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.83
DO  - 10.2991/iwmecs-18.2018.83
ID  - Chen2018/04
ER  -