Intelligent Self-learning System of AMT Gear Position
- 10.2991/msam-17.2017.56How to use a DOI?
- AMT; intelligent self-learning system; gear position
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.
- © 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/).
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 - 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 -