Research on Cleaning Intelligent Control System of Rice and Wheat Combine Harvester

DOI

10.2991/meees-18.2018.30How to use a DOI?

Keywords

Intelligent Control; Combine Harvester; Case-based reasoning; Expert System.

Abstract

Abstract: The intelligent regulation and control strategies for rice and wheat combine harvesters' operation are lacking and the rule of parameter matching is fuzzy in China, around these issues, the dynamic correlation control law among the parameters of rice and wheat, cleaning operation parameters of combine harvesters, the cleaning loss rate and trash content are studied, and so on. The intelligent control model for the rice and wheat combine harvester is established based on case-based reasoning, and achieve different rice-wheat breeds, moisture content and other rice-wheat properties, and provide clean fan speed, plate angle and scale screen control scheme with low trash content and cleaning loss rate. Through the development of web-based cleaning intelligent control expert system and conduct experimental evaluation, the feasibility and effectiveness of the case-based reasoning method in the intelligent control filed of rice and wheat combine harvesters is verified.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengxing Xiao
AU  - Qing Jiang
AU  - Zhengyong Zhang
AU  - Rujin Wang
AU  - Liangtu Song
AU  - He Huang
AU  - Liusan Wang
AU  - Min Wang
PY  - 2018/05
DA  - 2018/05
TI  - Research on Cleaning Intelligent Control System of Rice and Wheat Combine Harvester
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 157
EP  - 166
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.30
DO  - 10.2991/meees-18.2018.30
ID  - Xiao2018/05
ER  -