Shen Zhonghua
ABSTRACT
Cutting off the tail of sugarcane is an extremely important process in the sugarcane harvesting process. In response to the problems of low automation, high labor intensity, and high impurity content in the current sugarcane harvester tip cutting mechanism in China, this paper uses Matlab visual image processing, electro-hydraulic hybrid control, and other technologies to design an automatic height control system for sugarcane tip cutting based on machine vision recognition. The system uses Matlab to process the collected sugarcane tail images in real-time, obtain the appropriate tail height, and then send the tail position signal to the PLC through OPC communication technology. After receiving the information, the PLC compares it with the hydraulic cylinder displacement feedback from the displacement sensor to obtain the deviation value, and uses the PID control algorithm to adjust its control accuracy, thereby controlling the displacement of the directional valve to drive the hydraulic cylinder action to complete the automatic control of the Sugarcane cutter height. The control system has been simulated and debugged to meet the action requirements of sugarcane tail breakage, and has good application prospects. It is of great significance for reducing the impurity content of machine harvested sugarcane and achieving intelligent sugarcane harvesting.
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