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  • 标题:Research on Environmental Adjustment of Cloud Ranch Based on BP Neural Network PID Control
  • 本地全文:下载
  • 作者:Jinzhi Ren ; Wei Xiang ; Lin Zhao
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:108
  • 期号:4
  • 页码:042056
  • DOI:10.1088/1755-1315/108/4/042056
  • 语种:English
  • 出版社:IOP Publishing
  • 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.
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