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作 者:王正[1,2] 孙兆军 WANG Zheng;SUN Zhao-jun(College of Xinhua, Ningxia University, Yinchuan 750021,China;School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China;Institute of Environmental Engineering, Ningxia University, Yinchuan 750021, China;China Ningxia (China-Arab) Key Laboratory of Resources Assessment and Environmental Regulation in Arid Regions, Yinchuan 750021, China)
机构地区:[1]宁夏大学新华学院,银川750021 [2]宁夏大学土木与水利工程学院,银川750021 [3]宁夏大学环境工程研究院,银川750021 [4]教育部中阿旱区特色资源与环境治理国际合作联合实验室,银川750021
出 处:《节水灌溉》2020年第8期18-21,共4页Water Saving Irrigation
基 金:宁夏2019-2020年度高等学校“双师型实践锻炼计划”项目;宁夏大学新华学院科学研究基金资助项目(18XHKY01)。
摘 要:由于温室滴灌系统模型参数易受环境变化的影响,导致传统模糊PID的控制精度不高,因此提出一种改进Smith预估补偿的滴灌系统模糊PID控制方法。MATLAB/simulink仿真实验结果表明,改进Smith预估补偿的模糊PID控制相比传统模糊PID具有更好的控制品质和更短的响应时间,且过渡过程更短、超调量更小、稳定性更高,控制效果明显提升;同时,蔬菜温室的田间测试结果表明,滴灌系统的最大超调量为5.95,且系统稳定后,土壤湿度始终保持在60.22左右,运行稳定且符合温室的灌溉要求,实现了灌溉的精准管理和精确控制,为发展设施农业精准灌溉提供一种新的解决方案。Because the model parameters of greenhouse drip irrigation system are easily affected by environmental changes,the traditional fuzzy PID control precision is not high.Therefore,this paper proposes a fuzzy PID control method of drip irrigation system with Smith prediction compensation.MATLAB/Simulink simulation results show that the improved smith prediction compensation fuzzy PID control has better control quality and shorter response time than the traditional fuzzy PID control,and the transition process is shorter,the overshoot is smaller,the stability is higher,the control effect is significantly improved.Meanwhile,the results of greenhouse test show that the maximum overshoot of drip irrigation system is 5.95%,and the soil moisture has remained at 60.22%after the system is stable,which meets the irrigation requirements of greenhouse vegetables.It realizes the precise management and arrangement,and provides a new solution for the development of agricultural irrigation.
关 键 词:土壤湿度 智能滴灌系统 模糊PID SMITH预估补偿器 自适应
分 类 号:S275[农业科学—农业水土工程] TP273[农业科学—农业工程]
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