Research on AMT Vehicle Control System Based on Neural Network

DOI

10.2991/meees-18.2018.67How to use a DOI?

Keywords

AMT vehicle control system; neural network; motor control.

Abstract

People often use AMT to summarize various changes and new systems brought about by traditional manufacturing technologies such as microelectronics, automation, and information technology. Specifically, it refers to the collective name of technologies, equipment, and systems that are created by integrating mechanical engineering technology, electronic technology, automation technology, and information technology. In this paper, the main research is based on neural network AMT car control system research. During the operation of the AMT vehicle system, when the driver manually shifts the gear, the coordination of the components of the power transmission system of the vehicle body is poor, and the driver frequently shifts the gear, resulting in a low safety factor. The static continuous shifting test is performed on the shifting mechanism. The test data shows that the addition of a neural network speeds up the motor's response to control signals.

Copyright

© 2018, 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  - Yanning Wang
PY  - 2018/05
DA  - 2018/05
TI  - Research on AMT Vehicle Control System Based on Neural Network
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 380
EP  - 384
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.67
DO  - 10.2991/meees-18.2018.67
ID  - Wang2018/05
ER  -