The Design of Greenhouse Environment Control System Based on Variable Universe Fuzzy Control Algorithm

机译：基于可变宇宙模糊控制算法的温室环境控制系统设计

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Greenhouse environment has the characteristics such as multiple-input, multiple-output, nonlinearity, and difficulties of establishing its accurate mathematical model. Therefore, in order to make the greenhouse environment control more effective and accurate, an expert system of variable universe fuzzy control based on BP neural network has been proposed. In this method an appropriate universe is selected according to the error and the changing rate of error to overcome the effect for greenhouse control when the error is too large or too small. The paper introduces the design of greenhouse environment control system based on variable universe fuzzy control in details, and presents the main control parameters.

机译：温室环境具有多输入多输出非线性等特点，难以建立准确的数学模型。因此，为了使温室环境控制更加有效和准确，提出了一种基于BP神经网络的变论域模糊控制专家系统。在该方法中，根据误差和误差的变化率选择合适的范围，以克服误差太大或太小时温室控制的影响。详细介绍了基于变论域模糊控制的温室环境控制系统的设计，并给出了主要的控制参数。

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《IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011》|2011年|p.72-78|共7页
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Haiyan He; Heru Xue;
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中图分类农业基础科学;计算技术、计算机技术;
关键词
fuzzy control; variable universe; greenhouse environment control; expert system; BP neural network;

机译：模糊控制可变宇宙温室环境控制;专业系统; BP神经网络;

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The Design of Greenhouse Environment Control System Based on Variable Universe Fuzzy Control Algorithm

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