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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151336
Doc. No : ET23128
Main Entry : Brian M. Stolarik
Title Proper : A NEURAL NETWORK-BASED SENSOR VALIDATION SCHEME WITHIN AIRCRAFT CONTROL LAWS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In 1992 NASA launched its "faster, better, cheaper" initiative to increase the number ofmissions while decreasing mission cost and time. Accordingly, NASA began supporting researchefforts to replace physicalty redundant systems on board spacecraft with analytically redundantsystems. The sensor failure, detection, identification and accommodation (SFDIA) systemeliminates physical redundancy by supplying neural network estimations for the pitch, rolf, andyaw rate gyros. A Boolean logic scheme utilizes the estimations to detect and identQ gyrosensor failures. Additionally, the SFDIA replaces a faulty sensor with its estimate to ensurenominal flight conditions after a sensor failure. The SFOlA was written, modeled and tested in theSirnulink programming environment for a closed bop non-linear model of a De Havilland 2"Beavef aircraft. Six types of sensor failures were artificially injected into each parameter. Ineach case, the SFDIA accurately and timely detected, identified, and accommodated the faultysensor.....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46364.pdf
Title and statement of responsibility and : A NEURAL NETWORK-BASED SENSOR VALIDATION SCHEME WITHIN AIRCRAFT CONTROL LAWS [Thesis]
 
 
 
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