Study Of Variable Rate Grain Fertilization Control System Based On Neural Network

Precision agriculture technique is a kind of important and modern agriculture in the base of modernengineering technique, biology technique, information technique, is a synthesize system of high complicated, itis important way to realize low energy consume,efficiently, superior quality, safe.Variable fertilization technology is an important part of the precision agriculture technology. It solved theproblem of steady-state fertilization accuracy of Hydraulic pressure variables fertilization seeder and improvedsystem response speed basing on PID control algorithm. But system controlling accuracy became higher whenrow fat wheel speed fluctuation or speed was low through further, which can influence performance of variablefertilization seeder. Pointing at variable fertilization seeder soil flatness and travel faster changes causing theproblem of fertilization wheel speed unstable and low accuracy, it put forward PID control algorithm variablesfertilization system basing on BP algorithm and improved the dynamic performance and anti-jammingperformance combining.Firstly, the basic theory of PID Control basing on BP is discussed in the paper. The principle of BPControl and the structure and the design of BP-PID Control are introduced. Secondly, On the basis of thisdesigned BP-PID controller is applied to the hydraulic motor controlled variable fertilization control system.The Experiment research shows: BP-PID Controller is independent of the system model, and it is prior togeneral PID in response speed and stable precision and restraint ability against the interference, especiallyappropriate to nonlinearity and serious hysteresis and random interference system such as Variable-ratefertilization control system，Improved the tracking performance and robustness of the system.