Self-adaptive control system and self-adaptive control method for corn harvesting feeding amount

Abstract

The invention relates to a self-adaptive control system and a self-adaptive control method for corn harvesting feeding amount. The control system comprises a CAN bus, a measuring and transmitting device, an armrest box assembly, a displayer, a main controller and a hydraulic executing mechanism. The CAN bus integration technology is adopted, a corn harvesting quality parameter online detection andsensing information processing and fault diagnosis system are integrated on the basis of a CAN bus, and the real-time performance and reliability of information transmission of the control system areguaranteed. The optimal target feeding amount is obtained through real-time calculation according to multiple pieces of feedback information of the grain breakage rate, the entrainment loss rate andthe ear picking loss rate, the current feeding amount is calculated through the torque value, the feeding amount of the corn harvester in the harvesting process is adaptively adjusted by adjusting theoperation speed, and the purpose of improving the working efficiency and the harvesting quality is achieved. Multi-sensor fusion adjustment ensures the reliability and scientificity of adaptive adjustment of the feeding amount, so that the vehicle speed control in the harvesting process is more reasonable and accurate.

Description

technical field [0001] The invention belongs to the field of agricultural automation, and in particular relates to a CAN bus-based self-adaptive control system and control method for corn harvest feeding amount. Background technique [0002] Corn harvester is the main machine for corn harvesting, its working performance directly affects the working efficiency and harvesting quality. Developed countries have applied advanced intelligent control technology to corn harvesters, and are developing towards large-scale, automation, modernization and precision. Only a few universities and research institutes in China conduct research on the intelligent control of corn harvesters. There are many factors that affect the harvesting efficiency of corn, among which the feeding amount has the most direct impact on the harvesting efficiency. If the feeding amount is too low, the harvesting efficiency will be low; if the feeding amount is too large, it will lead to large ear picking loss a...

AI Technical Summary

Problems solved by technology

At present, the domestic control of corn harvesting feed is mainly based on the subjective experience of the driver, without comprehensive consideration of the impact of grain breakage rate, ear picking loss rate, and entrainment loss rate, etc., and there is a large subjective adjustment to the feed amount. sex and uncertainty

As a result, the corn harvester cannot achieve the maximum harvesting efficiency and harvesting quality during the harvesting process

Images