Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

Intelligent Self-learning System of AMT Gear Position

Authors
Yulong Lei, Xiaoxin Gang, Yao Fu, Jianlong Hu
Corresponding Author
Yulong Lei
Available Online March 2017.
DOI
https://doi.org/10.2991/msam-17.2017.56How to use a DOI?
Keywords
AMT; intelligent self-learning system; gear position
Abstract
This essay makes an analysis of shift principle and the location distribution of the gear of the AMT system without shift actuator. According to the self-study theory, we exploit an intelligent gear position self-study system and try to figure out the problems of finding the certain gear position because of the factors like assembly error, process error and abrasion. The innovative point is that it can improve the accuracy and robustness of the electric shift actuator and the success rate of shifting and achieve the fast and accurate control of shifting of the AMT system.
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Proceedings
2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-17.2017.56How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yulong Lei
AU  - Xiaoxin Gang
AU  - Yao Fu
AU  - Jianlong Hu
PY  - 2017/03
DA  - 2017/03
TI  - Intelligent Self-learning System of AMT Gear Position
BT  - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 251
EP  - 254
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.56
DO  - https://doi.org/10.2991/msam-17.2017.56
ID  - Lei2017/03
ER  -