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Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

机译:基于模糊神经网络的温室无线传感器网络控制系统设计

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This paper proposed a greenhouse control system utilizing wireless sensor network (WSN) to overcome the wiring difficulties and poor mobility in the application of traditional cable-used control systems. Each wireless sensor node in the WSN collects the environmental data of temperature, humidity and CO_2concentration, and transmits the data to the control center via the sink nodes. A fuzzy neural network with three inputs and six outputs was designed to improve the control accuracy. By analyzing the relationship between the mentioned environmental factors above and the actuators of the system, a fuzzy rule was made and combined with the neural network. The simulation results showed that the proposed method could respond in a short time with high accuracy, and had small overshoot as well as good stability.
机译:本文提出了一种利用无线传感器网络(WSN)的温室控制系统,以克服传统电缆控制系统在应用中的布线困难和移动性差的问题。 WSN中的每个无线传感器节点都收集温度,湿度和CO_2浓度的环境数据,并将这些数据通过接收器节点传输到控制中心。设计了具有三输入六输出的模糊神经网络以提高控制精度。通过分析上述环境因素与系统执行器之间的关系,建立了模糊规则,并与神经网络结合。仿真结果表明,该方法能在短时间内以较高的精度响应,且过冲小且稳定性好。

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