Issue |
MATEC Web of Conferences
Volume 166, 2018
The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2018)
|
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Article Number | 02006 | |
Number of page(s) | 10 | |
Section | Vehicle Design and System Control Engineering | |
DOI | https://doi.org/10.1051/matecconf/201816602006 | |
Published online | 23 April 2018 |
Modular Estimation Strategy of Vehicle Dynamic Parameters for Motion Control Applications
1
Ain Shams University, Faculty of Engineering, Automotive Department, Cairo, Egypt
2
Ain Shams University, Faculty of Engineering, Mechatronics Department, Cairo, Egypt
3
Ain Shams University, Faculty of Engineering, Design and Production Department, Cairo, Egypt
The presence of motion control or active safety systems in vehicles have become increasingly important for improving vehicle performance and handling and negotiating dangerous driving situations. The performance of such systems would be improved if combined with knowledge of vehicle dynamic parameters. Since some of these parameters are difficult to measure, due to technical or economic reasons, estimation of those parameters might be the only practical alternative. In this paper, an estimation strategy of important vehicle dynamic parameters, pertaining to motion control applications, is presented. The estimation strategy is of a modular structure such that each module is concerned with estimating a single vehicle parameter. Parameters estimated include: longitudinal, lateral, and vertical tire forces – longitudinal velocity – vehicle mass. The advantage of this strategy is its independence of tire parameters or wear, road surface condition, and vehicle mass variation. Also, because of its modular structure, each module could be later updated or exchanged for a more effective one. Results from simulations on a 14-DOF vehicle model are provided here to validate the strategy and show its robustness and accuracy.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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