Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Optimal Parameter Matching for Working Condition of Combine Harvester

Authors
Min Liao, Qiang Wang, Huapei Zhang
Corresponding Author
Min Liao
Available Online October 2015.
DOI
10.2991/icmii-15.2015.53How to use a DOI?
Keywords
Parameter matching; Genetic algorithm; Fuzzy logic control; Combine harvester
Abstract

To improve harvesting productivity, optimal parameter matching for working condition of combine harvester is studied. Interrelationship of crucial working parameter of combine harvester has been discussed. And a fuzzy logic controller (FLC) was presented by making use of feeding rate, grain moisture content, forward speed and cylinder speed. Fitness function of genetic algorithm was established based on the highest productivity of combine. Genetic-fuzzy algorithm (GFA) was utilized to solve the optimal combination. The results show that the presented FLC and GFA are feasible and efficiency.

Copyright
© 2015, 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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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
10.2991/icmii-15.2015.53How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Min Liao
AU  - Qiang Wang
AU  - Huapei Zhang
PY  - 2015/10
DA  - 2015/10
TI  - Optimal Parameter Matching for Working Condition of Combine Harvester
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 295
EP  - 299
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.53
DO  - 10.2991/icmii-15.2015.53
ID  - Liao2015/10
ER  -