| Issue |
MATEC Web Conf.
Volume 121, 2017
8th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|
|
|---|---|---|
| Article Number | 06007 | |
| Number of page(s) | 11 | |
| Section | Transport Engineering and Road Vehicles, Traffic Management | |
| DOI | https://doi.org/10.1051/matecconf/201712106007 | |
| Published online | 09 August 2017 | |
Robotized semiautomatic motorcycle transmission development. Electronic and software design
1 Lucian Blaga University of Sibiu, Faculty of Engineering, Computer Science Department, Sibiu, Romania
2 Lucian Blaga University of Sibiu, Faculty of Engineering, Industrial Engineering and Management Department, Sibiu, Romania
3 Continental Automotive Systems, Sibiu, Romania
* Corresponding author: radu.petruse@ulbsibiu.ro
In this paper, we propose an electrical design (implemented on a PCB board) and an accompanying software design for controlling the automatic gear change. The designs complement the mechanical solutions developed in Part 1. The paper also analyses the issues encountered during the intermediate steps of the development of the electronic module, which is expected to be small and adaptable enough to be installed on a motorcycle without changing its ergonomics. The control software runs on the Arduino Nano board and is built as a state machine with one idle state, five active states that cover different stages of the gear change and one error state for preventing malfunctions in case of an unexpected event. The sketch uses 5,760 bytes (or 18%) of program storage space and 706 bytes (or 34%) of the dynamic memory.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.