基于迭代学习控制算法的苹果园灌溉系统

The Apple Orchard Irrigation System Based on Iterative Learning Control Algorithm

介绍了一种基于迭代学习控制算法的苹果园灌溉系统。硬件电路由MSP430F149单片机、TR-5型土壤水分传感器、太阳能供电模块及灌溉控制电路组成。迭代学习控制算法应用于苹果园灌溉这种具有重复运动性质的控制过程中,利用本次的灌溉信息,通过迭代学习律修正下一次的灌水量,实现在有限时间区间上的果园最佳土壤含水量精确控制。解决因苹果园地表灌溉水需经较长时间才能渗透到苹果树吸收水分根系的主要分布区,所造成的实时控制系统无法及时准确获取果园土壤含水量反馈信息的问题。

An apple orchard irrigation system based on iterative learning control algorithm is introduced in the article.Hardware of the system are mainly composed of the MSP430F149 microcontroller,TR-5 soil moisture probe,solar power modules and irrigation control circuit.Apple orchard irrigation is repeatable,iterative learning control theory can be used for repetitive control,so modify the next irrigation amount with iterative learning rate by using the last irrigation information.It can realize the accurate control of optimum soil moisture content.Because of the surface water takes a longer time to penetrate into the main active absorbing root systems area,the problem that real time control system can not obtain accurate feed back information of soil moisture content in time also can be solved by the iterative learning control algorithm.