葛建坤, 罗金耀, 李小平, 王雪营. 基于ANFIS的温室气温模糊控制仿真[J]. 农业工程学报, 2010, 26(8): 216-221.
    引用本文: 葛建坤, 罗金耀, 李小平, 王雪营. 基于ANFIS的温室气温模糊控制仿真[J]. 农业工程学报, 2010, 26(8): 216-221.
    Simulation of fuzzy control for greenhouse temperature based on ANFIS[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 216-221.
    Citation: Simulation of fuzzy control for greenhouse temperature based on ANFIS[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 216-221.

    基于ANFIS的温室气温模糊控制仿真

    Simulation of fuzzy control for greenhouse temperature based on ANFIS

    • 摘要: 该文实现了通过改变温室通风口开度来模拟和控制温室内气温的目的。根据能量平衡原理构建了温室气温数学模型,基于自适应神经模糊控制系统(ANFIS)完成了控制器设计,其中包括对控制变量的选取、模糊集的定义、论域的量化、隶属函数的选择及控制器的训练。最后用Simulink工具箱建立起室温控制过程的MATLAB仿真模型,并对控制模型进行了仿真分析。仿真结果证明了该温室环境温度模糊控制系统的有效性及合理性,该成果对温室小气候智能调控的发展具有一定的参考价值。

       

      Abstract: The paper deals with the problem of modeling and control of greenhouses inside climate defined by the temperature. According to the thermal balance principle in greenhouse, a non-linear differential model for the air temperature in the greenhouse was constructed. The corresponding fuzzy control system for greenhouse temperature was established by using ANFIS tools of MATLAB, including the choosing of variables, definition of fuzzy sets, quantification of the domain, choosing of membership functions and controller training. After the combination between controller and the controlled object by Simulink, simulations were carried out to analyze the performance of the system. The simulation results testify the validity and reasonability of the fuzzy control strategy for the temperature control in the greenhouse, and the achievement has certain reference value for the development in intelligent control of the greenhouse microclimate.

       

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