Extended Kalman Filter Application For Launch Vehicle Trajectory
DOI:
https://doi.org/10.37591/joci.v3i1-3.2791Abstract
Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated with adopting such a method in practice, have been reviewed. This paper also deals with the estimation of state vector in nonlinear systems with the assumptions that the measurement errors, as well as the number of outliers that could occur within a given time window, are bounded. This paper presents estimation model for various stages of a satellite launch vehicle trajectory, for a lift off from an idealized spherical, airless, non-rotating earth. Tracking RADAR measures slant range, azimuth and elevation of the vehicle and yields an output which may be corrupted by noise. Estimation of vehicle stages performance is done by Extended Kalman Filter, which focuses on control of a process from a priori information and updating it. A Monte Carlo computer simulation is used.
Keywords: Theory of Estimation, Nonlinear Models, Kalmanfilter, Extended Kalman Filter, Apriori Information, Launch Vehicle
Downloads
Published
Issue
Section
License
Journal Title:
Title of the Paper:
Corresponding Author’s Information:
Name: Address:
E-mail:
Contact Number:
It is herein agreed that: The copyright to the above-listed unpublished and original article is transferred to STM Journals.
This copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature.
I/We declare that above manuscript is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
I/ We warrant(s) that his/her/their contribution is original, except for such excerpts from copyrighted works as may be included with the permission of the copyright holder and author thereof, that it contains no libelous statements, and does not infringe on any copyright, trademark, patent, statutory right, or propriety right of others.
I/We will not publish his/her/their above said contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially. I/We also agree to the authorship of the article in the following order: Author(s) Name Signature(s)
1. ________________
2. ________________
3. ________________
4. ________________
The author(s) agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal (comments if any to the editor can be added below).
