基于模糊神经网络的温室控制系统

为了实现温室节能以及安全控制,针对温室环境的大滞后、多输入、多输出、非线性和难以建立数学模型等特点,提出用模糊神经网络进行温室温度控制的方法,采用神经网络在线调整训练模糊规则的控制方式,实现了温室内温度的模糊控制.利用该方法能提高温室控制系统的精确性、适应性和鲁棒性,有利于节能.结果表明,基于模糊神经网络的温室控制系统运行效果良好,控制过程响应快,无震荡,超调量小,稳态误差小,能满足使用要求.

Based on Fuzzy Neural Network Control System of Greenhouse

In order to achieve energy-saving greenhouse,as well as safe control,in accordance for greenhouse control system,have behind a large,multiple-input,multiple-output,non-linear,it is difficult to establish mathematical models,and the temperature Control based on fuzzy neural-network of greenhouse been proposed,Use neural-network on-line training to adjust the rules of fuzzy control method to achieve a greenhouse temperature of fuzzy control.Use this method to improve the accuracy of the greenhouse control sys...