基于Smith预估模糊控制的温室灌溉决策系统设计

Design of greenhouse irrigation decision system based on Smith fuzzy controller

温室设备快速准确控制是设施农业精准调控的关键环节。为解决现有温室灌溉控制系统精度较低,优化蔬菜作物的灌溉管理策略,本文提出了基于Smith模糊控制器的温室灌溉智能决策系统。文章对Smith预估模糊控制器结构组成及结果期西红柿土壤水分数学模型构建进行了阐述。基于Simulink的建模仿真验证了本系统的控制策略具有更好的响应速度和控制精度;温室实地试验结果表明,系统灌溉控制最大误差为7.5%,系统响应达到设定值后,土壤水分平均值能够很好地维持在70.5%左右,符合温室西红柿结果期的生长环境要求。系统工作稳定,针对温室蔬菜灌溉控制具有更高的控制精度和实用性。

Rapid and accurate control of greenhouse equipment is the key of precise regulation of facility agriculture.In order to improve irrigation accuracy and optimize irrigation management strategy for greenhouse vegetables,an intelligent decision system for greenhouse irrigation based on Smith fuzzy prediction controller was designed.Structure composition of the controller was proposed,and the method of constructing soil moisture mathematical model for greenhouse tomato at fruiting period was illustrated.Simulation curve based on Simulink showed that the system had better control precision and response speed.Test result demonstrated that greenhouse irrigation controlled by the system can keep the soil moisture content at 70.5%,the max control error is 7.5%,which was good for the growth of greenhouse tomatoes during fruiting period.The system works stably and reliably with higher control precision and practicability.