Optimal Control of Gearshift in Automatic Mechanical Transmission
Authors
Liying Miao, Xiusheng Cheng, Zhonghua Liu, Xuesong Li, Xi Liu
Corresponding Author
Liying Miao
Available Online April 2015.
- DOI
- 10.2991/amcce-15.2015.382How to use a DOI?
- Keywords
- AMT; wet clutch; pressure control; fuzzy control
- Abstract
In order to solve the problems existed in gearshift process of automatic mechanical transmission(AMT), the control strategy base on fuzzy control was presented with regarding of engine running state and clutch engaging state. The wet clutch target pressure of shifting process was determined by the fuzzy controller. According to the error of target pressure and actual pressure, a wet clutch pressure intelligent control arithmetic base on Radial Basis Function Neural Network(RBFNN) was designed to realize accuracy control of clutch pressure. The vehicle gear shifting experiment was conducted to verify the control strategy.
- 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 - Liying Miao AU - Xiusheng Cheng AU - Zhonghua Liu AU - Xuesong Li AU - Xi Liu PY - 2015/04 DA - 2015/04 TI - Optimal Control of Gearshift in Automatic Mechanical Transmission BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 1319 EP - 1324 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.382 DO - 10.2991/amcce-15.2015.382 ID - Miao2015/04 ER -