Accession Number : ADA136919

Title :   Stochastic Estimation Applied to the Land Speed of Sound Record Attempt by a Rocket Car.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Reinholz,D A

PDF Url : ADA136919

Report Date : Dec 1983

Pagination or Media Count : 186

Abstract : Optimal linear smoothing theory is applied to the data from the Speed of Sound record attempt of a three-wheeled rocket car on 17 December 1979. A forward-backward estimation method is used which employs a seven state forward-running extended Kalman filter and a Meditch-form backward recursive 'fixed-interval' smoothing algorithm. Data for this analysis is supplied by a longitudinal accelerometer mounted on the vehicle and tracking radar measurements of range, azimuth, and elevation. States of interest include two components of vehicle position and velocity, accelerometer time-correlated error, and radar range and azimuth bias errors. Two iterations of the forward-backward smoothing algorithm provide excellent covergence of state estimates and error variance. Based on this analysis a peak speed estimate of 1082.028 ft/sec or 1.008 Mach is obtained at 16.85 seconds from the start of the high speed run. After two iterations of the smoother the standard deviation of the peak speed estimate is reduced to 1.055 ft/sec. We conclude with a confidence level of nearly one, based on the assumptions and modeling techniques employed in this analysis, that the rocket car did, in fact, exceed the reference speed of sound on 17 December 1979. (Author)

Descriptors :   *Supersonic test vehicles, Ground vehicles, Algorithms, Kalman filtering, Stochastic control, Acceleration, Theses

Subject Categories : Surface Transportation and Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE