Faults Self-detection of Self-validating Flush Air Data Sensing System
نویسندگان
چکیده
منابع مشابه
Learning Air-Data Parameters for Flush Air Data Sensing Systems
An adaptive scattered data approximation scheme was developed to calibrate the Flush Air Data System (FADS) of a surface vessel. An array of pressure sensors were mounted flush with the deckhouse periphery and the airdata parameters were extracted from the pressure measurements. The developed Galerkin derived selfadaptive greedy function approximation scheme gave reliable and robust surrogates ...
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Dynamic soaring extracts energy from naturally occurring wind gradients that can be used to extend aircraft endurance, particularly in small UAVs. Autonomous thermal soaring has already been validated in flight tests with small UAVs, but this level of demonstration has not been performed for dynamic soaring UAVs, partly due to the precise wind measurements required. This paper explores wind vec...
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A hybrid data-model fusion approach has been devised to calibrate a Flush Air Data Sensing system. Numerical simulation and artificial neural network based approaches have been previously applied to predict airdata state from flush pressure measurements. However both approaches have their shortcomings. Numerical simulations rely on approximations to model the truth while learning algorithms do ...
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With the development of high-performance aircraft, precise air data are necessary to complete challenging tasks such as flight maneuvering with large angles of attack and high speed. As a result, the flush air data sensing system (FADS) was developed to satisfy the stricter control demands. In this paper, comparative stuides on the solving model and algorithm for FADS are conducted. First, the ...
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ژورنال
عنوان ژورنال: International Journal of Control and Automation
سال: 2017
ISSN: 2005-4297,2005-4297
DOI: 10.14257/ijca.2017.10.3.19