Title :
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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.160
