Self-Adaptive Control for Surface Irrigation

地表灌溉的自适应控制

• 批准号: 8914980
• 负责人: Nikolaos Katopodes
• 金额: $ 11.59万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-03-01 至 1993-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8914980&HistoricalAwards=false
• 关键词: Self; Adaptive; Control; Surface; Irrigation

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.

该研究将开发一种自适应方法来控制灌溉用水的消耗。 该数学模型将允许任意大小的初始流根据现场参数的实时识别和地下湿度的期望分布来调整其幅度和时间分布。 自适应控制将是基于多孔床自由表面流零惯性模型的优化算法的结果。 对该过程进行观察和分析，测量收敛半径，并验证流入速率的可控性。 将开发微机数字代码，以便与现场传感器集成进行实时控制。 该模型将允许实时优化灌溉用水，从而提高效率，改善水资源在竞争用途之间的分配，特别是在干旱条件下。