A New Hybrid Modeling Method for Performance Digital Mock-Up of Hypersonic Vehicle

Authors

Zhang Feng, School of automation, Northwestern Polytechnical University, Xian 710072 P. R. China\\ School of Information, Yulin University, Yulin 719000 P. R. ChinaFollow
Xue Hui-Feng, School of automation, Northwestern Polytechnical University, Xian 710072 P. R. ChinaFollow

Author Country (or Countries)

P. R. China

Abstract

For the characteristics that a hypersonic vehicle has a large span of flight height and flight Mach number, and complicated flight environment, the model of which is highly nonlinear, unstable and multivariablecoupled, where using a single modelling approach is often difficult to achieve high modeling accuracy, hybrid modeling method is proposed to design its performance digital mock-up. The performance digital mock-up hybrid model are designed by using fuzzy set theory, neural networks and system identification method based on combination of the three fuzzy neural network identification method and technology. The simulation results show that high modeling accuracy of this modeling method is generally conventional neural network or fuzzy identification incomparable.

Digital Object Identifier (DOI)

http://dx.doi.org/10.12785/amis/090139

Recommended Citation

Feng, Zhang and Hui-Feng, Xue (2015) "A New Hybrid Modeling Method for Performance Digital Mock-Up of Hypersonic Vehicle," Applied Mathematics & Information Sciences: Vol. 09: Iss. 1, Article 46.
DOI: http://dx.doi.org/10.12785/amis/090139
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss1/46