Study for PID Temperature Control of Plant Growth Cabinet Based on Neural Network

Zhi Qi Liu; Li Guo Tian; Meng Li; Jiang Lin Wei; Gao Li Chen; Yu Shuang Li

doi:10.4028/www.scientific.net/AMM.734.229

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Study for PID Temperature Control of Plant Growth...

Study for PID Temperature Control of Plant Growth Cabinet Based on Neural Network

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.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

229-232

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.229

Citation:

Cite this paper

Online since:

February 2015

Authors:

Zhi Qi Liu*, Li Guo Tian, Meng Li, Jiang Lin Wei, Gao Li Chen, Yu Shuang Li

Keywords:

BP Neural Network, PID Control, Plant Growth Environment, Temperature Control

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* - Corresponding Author

References

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