2017
DOI: 10.1007/s13272-016-0231-2
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Time-domain output error system identification of iced aircraft aerodynamics

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Cited by 9 publications
(9 citation statements)
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References 15 publications
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“…For example, a ∆-model implementation accounting only for icing effects on the longitudinal motion might be much simpler than a ∆-model covering changes in all six degrees of freedom. Such a formulation for the longitudinal aircraft motion as well as the corresponding parameters resulting from system-identification is given in [22]. More complex ∆-models were developed in [18,23] accounting for icing-induced aerodynamic degradation and corresponding effects on the complete aircraft motion.…”
Section: Model Formulationmentioning
confidence: 99%
“…For example, a ∆-model implementation accounting only for icing effects on the longitudinal motion might be much simpler than a ∆-model covering changes in all six degrees of freedom. Such a formulation for the longitudinal aircraft motion as well as the corresponding parameters resulting from system-identification is given in [22]. More complex ∆-models were developed in [18,23] accounting for icing-induced aerodynamic degradation and corresponding effects on the complete aircraft motion.…”
Section: Model Formulationmentioning
confidence: 99%
“…accumulation as well as a de-icing can be triggered by the user whereas the details about the degradation itself are part of the closed model to allow a fair and realistic test of new developments like detection algorithms or robust flight controllers. The corresponding knowledge about the expectable effects and a realistic amount of degradation is derived from previous icing research at DLR [45,46] where high-quality simulation models were identified from flight data.…”
Section: Wing Ice Casementioning
confidence: 99%
“…accumulation as well as a de-icing can be triggered by the user whereas the details about the degradation itself are part of the closed model to allow a fair and realistic test of new developments like detection algorithms or robust flight controllers. The corresponding knowledge about the expectable effects and a realistic amount of degradation is derived from previous icing research at DLR [46,47] where high-quality simulation models were identified from flight data.…”
Section: Test Scenarios and Failure Casesmentioning
confidence: 99%