A Modified Triples Algorithm for Flush Air Data Systems That Allows a Variety of Pressure Port Configurations
Author(s) -
Daniel R. Millman
Publication year - 2017
Publication title -
aiaa atmospheric flight mechanics conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2017-4211
Subject(s) - port (circuit theory) , variety (cybernetics) , computer science , algorithm , engineering , mechanical engineering , artificial intelligence
Air Data Systems (FADS) are becoming more prevalent on re-entry vehicles, as evi- denced by the Mars Science Laboratory and the Orion Multipurpose Crew Vehicle. A FADS consists of flush-mounted pressure transducers located at various locations on the fore-body of a flight vehicle or the heat shield of a re-entry capsule. A pressure model converts the pressure readings into useful air data quantities. Two algorithms for converting pressure readings to air data have become predominant- the iterative Least Squares State Estimator (LSSE) and the Triples Algorithm. What follows herein is a new algorithm that takes advantage of the best features of both the Triples Algorithm and the LSSE. This approach employs the potential flow model and strategic differencing of the Triples Algorithm to obtain the defective flight angles; however, the requirements on port placement are far less restrictive, allowing for configurations that are considered optimal for a FADS.
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