Self-Adaptive Control for Surface Irrigation

本研究将开发一种自适应方法 控制灌溉用水的消耗 水 数学模型将允许 初始流的任意大小，以调整其 大小和时间分布取决于 现场参数实时识别 以及所需的地下分布 水分 自适应控制将是 基于优化算法的结果 关于自由面的零惯量模型 多孔床流动 这个过程将是 观察和分析， 收敛将被测量， 流入率的可控性将是 验证 数字代码将是 为微型计算机开发的， 与现场传感器的集成将 可以进行实时控制。 模型 将允许最佳的灌溉应用 水在真实的时间和效率将 因此，提高分配 竞争性用途之间的水资源 特别是在干旱条件下。

The study will develop a self-adaptive method to control the consumptive use of irrigation water. The mathematical model will allow an initial stream of arbitrary size to adjust its magnitude and time distribution depending on real-time identification of field parameters and the desired distribution of subsurface moisture. The self-adaptive control will be the result of the optimization algorithm based on the Zero-inertia model for free-surface flow on porous bed. The process will be observed and analyzed, the radii of convergence will be measured, and the controllability of the inflow rate will be verified. The numerical code will be developed for microcomputer so that integration with field sensors will be possible for real-time control. The model will permit optimum application of irrigation water in real time and efficiency will increase thus, improving the allocation of water resources among competing uses especially under drought conditions.