Intelligent vehicle airbag controller design

Author

Yi-Jen Mon ; Kuang-Tso Luo

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Chung-Kuo Inst. of Technol., Hsinchu

Volume

2

fYear

2004

fDate

1-3 Dec. 2004

Firstpage

908

Lastpage

913

Abstract

An intelligent vehicle airbag controller design methodology is proposed in this paper. Firstly, the vehicle impact severity is analyzed to get four characteristic factors utilized as fuzzy inputs. From these four characteristics factors, the ´two stages fuzzy algorithm´ is developed and used as the airbag deployment algorithm to identify the vehicle impact severity. Finally, the fuzzy-Gaussian neural network (FGNN) is used to train the suitable fuzzy membership functions and fuzzy rules based on this proposed ´two stages fuzzy algorithm´. Simulation results for different vehicle crash data demonstrate the validity and effectiveness of the proposed design methodology

Keywords

automotive components; automotive electronics; fuzzy neural nets; impact testing; vehicle dynamics; airbag deployment algorithm; fuzzy Gaussian neural network; fuzzy algorithm; fuzzy membership function; fuzzy rules; intelligent vehicle airbag controller design; vehicle crash data; vehicle impact severity analysis; vehicle impact severity identification; Acceleration; Algorithm design and analysis; Design methodology; Fuzzy neural networks; Fuzzy systems; Intelligent vehicles; Neural networks; Prediction algorithms; Sensor systems; Vehicle crash testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2004 IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-8643-4

Type

conf

DOI

10.1109/ICCIS.2004.1460709

Filename

1460709