Stetsenko A. Automated control of agricultural cultures' water well-being upon underground moistening with disturbances' detection

Dissertation is devoted to the decision of actual scientific and technical task of design of models and control methods of agricultural cultures' water well-being on the drained-humidifying systems with underground moistening for rising of these systems' functioning and ensuring receiving of guaranteed agricultural cultures' harvest with simultaneous economy of water and energy resources. The object of research is the processes of automated control of agricultural cultures' water well-being on the drained-humidifying systems with underground moistening. The subject of research is the mathematical models, methods and systems of automated control of agricultural cultures' water well-being on the drained-humidifying systems upon underground moistening with disturbances' account. In the work the control methods of agricultural cultures' water well-being upon underground moistening on the bases of specialized artificial neural networks and structure of control loops are developed. This has allowed increasing the control precision of water well-being, efficiency of decision-making process. The mathematical models of non-saturated part of soil as the control object on the bases of specialized artificial neural networks are built. This has allowed increasing of the soil's pressure head (moisture) prediction's precision. The method of parametric identification of coefficient of hydraulic conductivity of non-saturated part of soil on the bases of neural networks is developed. This has allowed essential increasing of coefficient of hydraulic conductivity definition's precision. The control method of agricultural cultures' water well-being upon drop irrigation on the bases of fuzzy logic with disturbances' on the object detection is developed. The structure of double-sided action hydraulic controller of root-inhabited soil's part moisture is improved. The intellectual methods of supporting of decision-making under multi-criterion conditions in the tasks of water well-being optimal control have been applied. This has allowed economizing water and energy resources with simultaneous guaranteeing of planned agricultural cultures' harvest's receiving. The hardware and software components of automated control system of water well-being are developed.