基于变论域模糊控制的大豆种植灌溉控制算法

Intelligent Irrigation Algorithm of Soybean Planting Based on Variable-universe Fuzzy Control Theory

在大豆种植过程中,人工控制方式仍占据主导地位,全自动化普及程度较低,现有的自动化灌溉多以将采集的土壤墒情与给定阈值进行对比灌溉的方式为主。传统模糊控制技术虽然可以解决由大田环境非线性、大惯性延时所带来的难以建立精准灌溉模型的难题,但因其结构参数相对固定不适用于高精度灌溉。针对上述问题,结合大豆各生长时期的需水特性和降雨量,基于变论域模糊控制理论提出了一种符合大豆各生长时期需水规律的智能灌溉控制算法。仿真实验表明,相比PID控制方案,在超调量与响应时间方面,方法有55.17%以及62.57%的提升,相比传统模糊控制方案,在超调量与响应时间方面,方法有30.36%以及46.44%的提升,很大程度上提高了灌溉的精度;与人工控制灌溉方式相比可以节约20%的水资源,为大豆的自动化节水灌溉提供了一条新的途径。

In soybean planting, the manual control mode is still dominant, fully automated low popularity, mostly existing automated irrigation soil moisture will be collected with a given threshold comparison irrigated main way. Although the traditional fuzzy control technology can solve the problem of establishing precision irrigation model by the nonlinear field environment inertial delay brought about, the relatively fixed structure parameters do not apply to precision irrigation. Simulation results show that, compared to the PID control scheme, the overshoot and response time, this method has increase by 55.17% and 62.57%, compared with the traditional fuzzy control scheme, the overshoot and response time, this method has inereased by 30.36 % and 46.44%, greatly improved the accuracy of irrigation; irrigation compared to manual control mode can save 20% of water resources, water-saving irrigation soybean automation provides a new way of thought.