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IJSTR >> Volume 2- Issue 5, May 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



The Test Platform Of Vehicle Airbag Controller Design

[Full Text]

 

AUTHOR(S)

Yi-Jen Mon

 

KEYWORDS

Index Terms: Vehicle, airbag, ignition algorithm design, RFNN.

 

ABSTRACT

Abstract: The airbag system has become a standard equipment of vehicles recently. The purpose of airbag system is to protect the safeties of driver and passengers. How to improve the ignition timing of algorithm of airbag control at the moment of car accident occurrence is very important. In this paper, the test platform of simulation is established such as to assure the corrections of ignition timings for numerous crash data of car accidents; meanwhile, by this platform the ignition algorithm of airbag control development can be effective and robust.

 

REFERENCES

[1] Y. J. Mon, K. T. Luo and Y. M. Lin, “Vehicle impact severity identification device,” U. S. Patent, US 6,275,755 B1, 2001.

[2] Y. J. Mon, “Airbag controller designed by adaptive-network-based fuzzy inference system (ANFIS),” Fuzzy Sets and Systems, Vol. 158, No. 24, pp. 2706-2714, 2007.

[3] S. Altug, M. Y. Chen and H. J. Trussell, “Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis,” IEEE Transactions on Industrial Electronics, Vol. 46, No. 6, pp. 1069-1079, 1999.

[4] J. S. R. Jang, “ANFIS: adaptive-network-based fuzzy inference system,” IEEE Transactions on System, Man and Cybernetics, Vol. 23, No. 3, pp. 665-684, 1993.

[5] F. J. Lin and R. J. Wai, “Hybrid control using recurrent fuzzy neural network for linear-induction motor servo drive,” IEEE Transactions on Fuzzy Systems, Vol. 9, pp. 102-115, 2001.

[6] Y. J. Mon, C. M. Lin and C. H. Leng, “Recurrent Fuzzy Neural Network Control for MIMO Nonlinear Systems,” Intelligent Automation and Soft Computing, Vol. 14, No. 4, pp.395-415, 2008.

[7] Y. J. Mon and C. M. Lin, “Supervisory Recurrent Fuzzy Neural Network Control for Vehicle Collision Avoidance System Design,” Neural Computing & Applications, Vol. 21, No. 8, pp. 2163-2169, 2012.