Linear model extraction of a launch vehicle by system identification based on six degrees of freedom simulation

Authors:
M. Tayefi;J. Roshanian;M. Bahrami
Affiliations:
K. N. Toosi University of Technology and Aerospace Research Institute - Ministry of Science, Research and Technology;K. N. Toosi University of Technology and Aerospace Research Institute - Ministry of Science, Research and Technology;Aerospace Research Institute - Ministry of Science, Research and Technology
Venue:
AsiaMS '07 Proceedings of the IASTED Asian Conference on Modelling and Simulation
Year:
2007

Citing 4
Cited 0

Modeling and Simulation of Aerospace Vehicle Dynamics (Aiaa Education)

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Brief A VSS identification scheme for time-varying parameters

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Abstract

The transfer functions of the aerospace launch vehicle can be extracted using well-known linearization methodology. This paper presents an alternative to obtain the transfer functions via closed-loop identification using six degrees of freedom nonlinear simulation software. The vehicle is characterized by high nonlinearity, open loop instability and time-varying behaviours. The model structure with some unknown parameters is obtained after mathematical modeling, thus the case of our problem is a parameter identification one. Time-variant parameters are estimated by Kalman filter approach with the aid of ARX model structure.