Research on Environmental Adjustment of Cloud Ranch Based on BP Neural Network PID Control

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Ren, Jinzhi^1 ; Xiang, Wei^1 ; Zhao, Lin^1 ; Wu, Jianbo^1 ; Huang, Lianzhen^1 ; Tu, Qinggang^1 ; Zhao, Heming^1

School of Southwest Minzu University, Chengdu, Sichuan

610041, China^1

关键词: BP neural networks;    Control environment;    Control parameters;    Control temperatures;    Controlled objects;    Environment control systems;    Management modes;    Temperature and humidities;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/4/042056/pdf
DOI  :  10.1088/1755-1315/108/4/042056

来源: IOP

【 摘 要 】

In order to make the intelligent ranch management mode replace the traditional artificial one gradually, this paper proposes a pasture environment control system based on cloud server, and puts forward the PID control algorithm based on BP neural network to control temperature and humidity better in the pasture environment. First, to model the temperature and humidity (controlled object) of the pasture, we can get the transfer function. Then the traditional PID control algorithm and the PID one based on BP neural network are applied to the transfer function. The obtained step tracking curves can be seen that the PID controller based on BP neural network has obvious superiority in adjusting time and error, etc. This algorithm, calculating reasonable control parameters of the temperature and humidity to control environment, can be better used in the cloud service platform.