Self-correcting Method for Application Rate Control Parameters of Wheat Seed Drill Machine
Abstract
An application rate detection method was proposed based on a special dynamic weighing system where the nitrogen springs through pressure sensors provided the total supporting force and gave rise to the pulling force change of the S-type weighing sensors with the weight change of the material (wheat seed) inside the box. The unique measurement characteristics of the detection system was that the linear combination of the weighted sum of the two types of sensors and the actual application rate equation can filter the original signal of the sensors. The application rate detection method was found based on the measurement characteristics and applied to the application rate control of a seed drill machine with fluted rollers, with the control parameters self-corrected, which made the seed drill machine with fluted rollers realized the substantial closed-loop control of the application rate and ensured continuously high control accuracy. Using the seed drill machine with 6 of 24 fluted rollers were blocked, two types of tests for controlling the application rate, with and without the application of self-correcting control parameters, were carried out. During all the tests, the maximum, average and standard deviation of the absolute relative error between the measured value and the actual value were 4.52%, 2.68% and 1.14%, respectively. While the corresponding statistic data between the actual value and the target value were 18.38%, 17.06% and 1.21%, respectively without control parameters being self-corrected. And the corresponding data were improved to 3.70%, 2.61% and 0.67% after introducing the control parameter self-correcting. The test results showed that the application rate measurement method can effectively measure the application rate of the seed drill machine and can be applied to self-correcting control parameters and holding high control accuracy.
Keywords: wheat seed drill machine, application rate detecting, self-correcting, weighted signal filtering
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