Design of Aircraft Antiskid Braking System Based on BP Neural Network and Genetic Algorithm

DOI

10.2991/icadme-16.2016.13How to use a DOI?

Keywords

Aircraft anti-skid brake; BP neural network; Genetic algorithm; Slip ratio

Abstract

In the research of aircraft anti-skid braking system, this paper proposes a control algorithm based on GA – BP. Aiming at the nonlinearity, time variation and uncertainty of aircraft anti-skid braking system, this paper takes the relative slip ratio as the objective function. Under the condition of the consistent parameter, this paper takes the Matlab as the simulation platform. On this basis, system modeling, simulating and performance analyzing are done. The simulation results show that this method is superior to the conventional BP neural network. It provides a good theoretical basis for the optimization design of aircraft braking system.

Copyright

© 2016, 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  - Yuanjin Zhang
AU  - Huawei Wu
AU  - Zhigang Tan
PY  - 2017/07
DA  - 2017/07
TI  - Design of Aircraft Antiskid Braking System Based on BP Neural Network and Genetic Algorithm
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 72
EP  - 76
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.13
DO  - 10.2991/icadme-16.2016.13
ID  - Zhang2017/07
ER  -