Intelligent Algorithm Design of Airbag Based on Genetic Neural Network

Author

Wang Yulong ; Bai Zhonghao ; Liu Yuyun ; Zhou Xuegui

Author_Institution

State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ., Changsha, China

fYear

2013

fDate

16-17 Jan. 2013

Firstpage

643

Lastpage

647

Abstract

Airbag control algorithm was designed based on the genetic neural network algorithm for solving the automotive airbag malfunction. Firstly vehicle finite element model and multi-rigid-body model of occupant restraint system for a certain car were established and validated. Then through simulation analyses, the airbag ignition strength and ignition time were determined. Secondly controller hardware platform and software processes were built based on the genetic neural network algorithm. The simulation experiment showed that: the airbag control algorithm could correctly identify the collision intensity and control the error ignition time in 3ms.

Keywords

automotive components; control system synthesis; finite element analysis; genetic algorithms; intelligent control; neural nets; road safety; airbag ignition strength; airbag ignition time; automotive airbag malfunction; collision intensity; controller hardware platform; error ignition time; genetic neural network algorithm; intelligent airbag control algorithm design; multirigid-body model; occupant restraint system; simulation analysis; software processes; vehicle finite element model; Automation; Mechatronics; Airbag; Algorithm; Genetic Neural Network; Intelligent;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4673-5652-7

Type

conf

DOI

10.1109/ICMTMA.2013.160

Filename

6493812