On estimation of vehicle linear model parameters
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 4 September 2009
Abstract
Purpose
The purpose of this paper is to identify linear model parameters of launch vehicles based on the actual flight test data. To compare the estimated parameters with the ones obtained by two other approaches: identification based on the recorded data from six‐degree‐freedom simulation of motion and linearization of the equations of motion via small‐disturbance theory as an analytical method.
Design/methodology/approach
As the vehicle contains all the key issues in system identification such as time‐varying, unstable, nonlinear, and closed‐loop dynamics, Kalman filter method under the autoregressive with exogenous input model structure is used as a powerful method to estimate the dynamic parameters.
Findings
Simulation results demonstrate that the linear model parameters used in the vehicle design and analysis should be validated by flight test data to accurate the vehicle dynamic model as more as possible.
Practical implications
One of the most important usages of a linear model of aerospace vehicles is to design their controller. Another application of the algorithm presented in this paper is to estimate online dynamic parameters of the vehicle when they are required for the operation of the control system.
Originality/value
Being strongly affected by vehicle dynamic characteristics, linear model parameters of launch vehicles play important part in their design and analysis.
Keywords
Citation
Tayefi, M., Roshanian, J. and Ghaffari, A. (2009), "On estimation of vehicle linear model parameters", Aircraft Engineering and Aerospace Technology, Vol. 81 No. 5, pp. 432-438. https://doi.org/10.1108/00022660910983716
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited