Estimation of Launch Vehicle Performance Parameters.
Abstract
The estimation of launch vehicle performance parameters was explored through the use of a Bayes filter. The main emphasis was to use an eight state model that would include the vehicle position and velocity vectors, the vehicle exhaust velocity, and the ratio of the mass flow rate to the initial mass. A primary objective was to be able to observe these quantities through the staging events, where the last two elements of the state would be changing very rapidly. The results indicated that indeed the staging event was observable. However, as would be expected, the data processed at the exact time of staging included errors which diminished as the filter processed more data. A fading memory was added in an attempt to improve the filters performance in the area of the staging event. This proved to be marginally successful as several Bayes loop iterations had to be performed to notice the effect of the fading memory addition. Care was taken to show each step of the filter development and its checkout. Several numerical tables are presented including the input and output data. Additional keywords: Theses, Rocket trajectories, Guided missile trajectories, Computer programs, Matrices(Mathematics), Equations of motion, Least squares method, and Dynamics. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1984
- Accession Number
- ADA151927
Entities
People
- D. A. Vallado
Organizations
- Air Force Institute of Technology