Intelligent Self-learning System of AMT Gear Position

DOI

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.

Copyright

© 2017, 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  - 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  - Proceedings of the 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  - 10.2991/msam-17.2017.56
ID  - Lei2017/03
ER  -