Optimal Control of Gearshift in Automatic Mechanical Transmission

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/).

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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  -