Date of Award

2009-01-01

Degree Name

Master of Science

Department

Mechanical Engineering

Advisor(s)

Louis J. Everett

Abstract

The focus of this Thesis is to find 21 error parameters in a Strapdown Inertial Navigation System (SINS) that would minimize objective functions or error functions to increase accuracy utilizing an optimization algorithm. The algorithm used is goal attainment by Gembiki which is a multi-objective optimization algorithm proven to outperform other optimization methods in terms of efficiency and accuracy over large numbers of problems. Simulations of a noise-free SINS mounted on an aircraft were done in a stationary and on the move scenario to simulate two conditions in which alignment could become necessary. The error parameters to find were sensor bias, sensor scale factor, position error, velocity error and orientation error. Moreover, this Thesis investigates how accurate can the error parameters be computed and how much data must be collected to enable an acceptable degree of accuracy.

Language

en

Provenance

Received from ProQuest

File Size

81 pages

File Format

application/pdf

Rights Holder

Mario Ruiz

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