The Optimal Control of Vehicle's Steering and Braking System

DOI

10.2991/iccet-15.2015.342How to use a DOI?

Keywords

ABS system; AFS system; Fuzzy Neural Network; Genetic Algorithms; Stability

Abstract

In order to make a research on the vehicle's ABS and AFS system, the fuzzy neural network controller was designed on the basis of the electric vehicle's steering and braking models. Then the genetic algorithms was used to improve the parameters of the membership function. For the purpose of the stability, the compensatory controller was designed . Finally, the Matlab/Simulink simulation software has been used in the simulation analysis. The result of simulation proves that no matter how working conditions changes, the designed system still has good tracking performance .The systemic robustness is more stronger and it also enhances the utility of the control system.

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  - Jianzhong Zhao
AU  - Guo Li
AU  - Chengyao Jia
PY  - 2015/11
DA  - 2015/11
TI  - The Optimal Control of Vehicle's Steering and Braking System
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 1833
EP  - 1837
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.342
DO  - 10.2991/iccet-15.2015.342
ID  - Zhao2015/11
ER  -