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Air data system optimization using a genetic algorithmAn optimization method for flush-orifice air data system design has been developed using the Genetic Algorithm approach. The optimization of the orifice array minimizes the effect of normally distributed random noise in the pressure readings on the calculation of air data parameters, namely, angle of attack, sideslip angle and freestream dynamic pressure. The optimization method is applied to the design of Pressure Distribution/Air Data System experiment (PD/ADS) proposed for inclusion in the Aeroassist Flight Experiment (AFE). Results obtained by the Genetic Algorithm method are compared to the results obtained by conventional gradient search method.
Document ID
19920072603
Document Type
Conference Paper
Authors
Deshpande, Samir M. (NASA Langley Research Center Hampton, VA, United States)
Kumar, Renjith R. (NASA Langley Research Center Hampton, VA, United States)
Seywald, Hans (Analytical Mechanics Associates, Inc. Hampton, VA, United States)
Siemers, Paul M., III (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Subject Category
LAUNCH VEHICLES AND SPACE VEHICLES
Report/Patent Number
AIAA PAPER 92-4466
Meeting Information
AIAA Guidance, Navigation and Control Conference(Hilton Head Island, SC)
Funding Number(s)
CONTRACT_GRANT: NAS1-18935
CONTRACT_GRANT: NAS1-17990
Distribution Limits
Public
Copyright
Other