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On-line identification of the speed, steering and diving response parameters of an autonomous underwater vehicle from experimental data

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Author
Bahrke, Fredric G.
Date
1992-03
Advisor
Healey, Anthony J.
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Abstract
The experimental response data from autonomous maneuvering using the NPS AUV II vehicle has been analyzed with a view to defining Kalman filters to provide on-line estimates of system parameters and their variability. Kalman filters, designed for parameter estimation are expected to be the first step in the development of autonomous fault detection systems for underwater vehicles. Secondly, extraction of vehicle hydrodynamic coefficients from these parameters can help to develop vehicle dynamic simulators. Thirdly, knowledge of these parameters will allow the design of improved autopilot and guidance laws.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
URI
https://hdl.handle.net/10945/38536
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  • 1. Thesis and Dissertation Collection, all items

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