摘要
为了更好地实现对温室温度的控制,本文设计出了一种BP神经网络PID控制器,提出了BP神经网络PID控制算法,并对该算法进行了分析,最后以温室温度为控制对象分别对常规PID控制器和BP神经网络PID控制器进行了大量仿真研究。结果表明,基于BP神经网络整定的PID控制器具有较强的自适应能力和鲁棒性,其控制品质优于常规PID控制器。
In order to control greenhouse＇s temperature in a better way, the BP neural network PID controller is designed and a kind of BP neural network PID control algorithm is discussed. Then this algorithm is analyzed, finally, a lot of simulation studies of the conventional PID controller and the BP neural network PID controller are carried out as the object of controlling greenhouse＇s temperature respectively. The results show that the PID controller based on BP neural network has stronger adaptability and robustness, and its control quality is better than the conventional PID controller.
出处
《中国农机化》
北大核心
2012年第2期151-154,144,共5页
Chinese Agricul Tural Mechanization
基金
吉林农业大学科研启动基金(2007036)
关键词
温室温度控制
BP神经网络
PID控制器
仿真研究
the temperature of the greenhouse
BP neural network
PID controller
research and simulation
