论文标题
用于硝化过程的高增益观察者包括传感器动力学
High-gain observer for the nitrification process including sensor dynamics
论文作者
论文摘要
受精通常用于增加收获。缺乏对土壤特性的知识和过度使用肥料可能导致过度利用。当前的传感器技术能够仅在选定的位置和深度处测量某些涉及物质的浓度。粗糙传感器网络中相邻传感器的点测量可用于推断传感器周围环境中硝酸盐浓度的状态。为此，提出了高收益观察者。硝化过程的模型以及观察者设计的测量动力学被得出并在网格上离散，以获得普通微分方程的系统。结果表明，模型的非线性可以界定以及如何通过线性矩阵不等式计算观察者增益。此外，提出了一个模型降低，该模型允许考虑更多的网格点。一项模拟研究证明了提出的方法。
Fertilization is commonly used to increase harvests. The lack of knowledge of soil properties and the excessive use of fertilizers can result in overfertilization. Current sensor technology is able to measure the concentrations of some of the involved substances only at selected locations and depths. Point measurements of adjacent sensors in coarse sensor networks can be used to infer upon the state of nitrate concentrations in the sensor surroundings. For this purpose, a high gain observer is proposed. Models of the nitrification process as well as the measurement dynamics for the observer design are derived and discretized on a grid to obtain a system of ordinary differential equations. It is shown that the nonlinearities of the model can be bounded and how the observer gain can be computed via linear matrix inequalities. Furthermore, a model reduction is proposed, which allows the consideration of more grid points. A simulation study demonstrates the proposed approach.
