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Research on intelligent control of an agricultural greenhouse based on fuzzy PID control

机译:基于模糊PID控制的农业温室智能控制研究

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摘要

With the development of agricultural science and technology in China, the number of greenhouses is increasing rapidly, but the control of greenhouse temperature, the most critical factor in the greenhouse environment, can no longer meet the requirements of the management and operation of agricultural greenhouse by manpower. Therefore, the perfect combination of greenhouse control and intelligent technology has become an urgent demand in the field of agricultural greenhouses. Research on the combination of greenhouse control and intelligent technology will help save human and financial resources and achieve the objectives of more efficient and stable control. Finally, it can guarantee an increase in crop yield and the profit of greenhouse operators. In this study, the temperature control of an agricultural greenhouse based on fuzzy proportion, integration and differentiation (PID) was taken as the research subject and a greenhouse temperature model was constructed by mathematical expression. Finally, simulation effect charts under simple fuzzy control and PID control were obtained, and the results were compared. Finally, it is concluded that fuzzy PID temperature control has the advantages of short response time and stable temperature-control effect, which is the optimal intelligent control mode of an agricultural greenhouse.
机译:随着中国农业科技的发展,温室的数量正在迅速增加,但控制温室温度,温室环境中最关键的因素,无法达到农业温室的管理和运作的要求人手。因此,温室控制和智能技术的完美结合已成为农业温室领域的紧急需求。温室控制与智能技术的结合研究将有助于挽救人力和财政资源,实现更高效稳定的控制目标。最后,它可以保证作物产量的增加和温室运营商的利润。在本研究中,根据模糊比例,集成和分化(PID)的农业温室的温度控制作为研究主体,由数学表达构建温室温度模型。最后,获得了简单模糊控制和PID控制下的模拟效果图,并进行了比较结果。最后,得出结论,模糊PID温度控制具有短响应时间和稳定的温度控制效果的优点,这是农业温室的最佳智能控制模式。

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