Dr. Ying Li Profile

Dr. Ying Li

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Proceedings Article | 23 January 2017 Paper

Study on fault diagnosis and load feedback control system of combine harvester

Ying Li, Kun Wang

Proceedings Volume 10322, 103223I (2017) https://doi.org/10.1117/12.2265355

KEYWORDS: Control systems, Feedback control, Control systems design, Sensors, Fuzzy logic, Particle filters, Signal processing, Automatic control, Picosecond phenomena, Process control

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In order to timely gain working status parameters of operating parts in combine harvester and improve its operating efficiency, fault diagnosis and load feedback control system is designed. In the system, rotation speed sensors were used to gather these signals of forward speed and rotation speeds of intermediate shaft, conveying trough, tangential and longitudinal flow threshing rotors, grain conveying auger. Using C8051 single chip microcomputer (SCM) as processor for main control unit, faults diagnosis and forward speed control were carried through by rotation speed ratio analysis of each channel rotation speed and intermediate shaft rotation speed by use of multi-sensor fused fuzzy control algorithm, and these processing results would be sent to touch screen and display work status of combine harvester. Field trials manifest that fault monitoring and load feedback control system has good man-machine interaction and the fault diagnosis method based on rotation speed ratios has low false alarm rate, and the system can realize automation control of forward speed for combine harvester.

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