Study on Modeling Method of a Multi-Parameter Control System for Threshing and Cleaning Devices in the Grain Combine Harvester

• Published in: Agriculture (Basel) Vol. 12; no. 9; p. 1483
• Main Authors: Li, Yang, Xu, Lizhang, Lv, Liya, Shi, Yan, Yu, Xun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2022
• Subjects: Adaptability; Agricultural equipment; Agricultural machinery; agriculture; Air flow; Algorithms; Analysis; Business metrics; Cleaning; combine harvester; Combine harvesters; Computer simulation; Control systems; Devices; Farm equipment; Farm machinery; Grain; Harvest; Harvesting; Identification methods; Mathematical optimization; Methods; Modelling; multi-parameter; Neural networks; Parameter identification; Particle swarm optimization; Root-mean-square errors; State space models; System identification; system modeling; threshing and cleaning devices; Verification; wavelet; China

In order to realize the demand for high-quality and high-efficiency harvest in modern agriculture, the grain combine harvesters must have the ability to intelligently adjust the operation parameters. The difficult problem is to establish the multi-parameter control system model for threshing and cle...