Reduced order system identification for UAVs

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dc.contributor.authorPierre-Daniel, Jameson
dc.contributor.authorCooke, Alastair K.
dc.date.accessioned2016-06-09T18:55:01Z
dc.date.available2016-06-09T18:55:01Z
dc.date.issued2015-08-01
dc.description.abstractReduced order models representing the dynamic behaviour of symmetric aircraft are well known and can be easily derived from the standard equations of motion. In flight testing, accurate measurements of the dependent variables which describe the linearised reduced order models for a particular flight condition are vital for successful system identification. However, not all the desired measurements such as the rate of change in vertical velocity (W. ) can be accurately measured in practice. In order to determine such variables two possible solutions exist: reconstruction or differentiation. This paper addresses the effect of both methods on the reliability of the parameter estimates. The methods are used in the estimation of the aerodynamic derivatives for the Aerosonde UAV from a recreated flight test scenario in Simulink. Subsequently, the methods are then applied and compared using real data obtained from flight tests of the Cranfield University Jetstream 31 (G-NFLA) research aircraft.en_UK
dc.identifier.citationP-D. Jameson and A. K. Cooke. Reduced order system identification for UAVs. The Aeronautical Journal, August 2015, Volume 119, No 1218. pp961-980en_UK
dc.identifier.issn0001-9240
dc.identifier.urihttp://aerosociety.com/News/Publications/Aero-Journal/Online/3382/Reduced-order-system-identification-for-UAVs
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/9954
dc.language.isoenen_UK
dc.publisherRoyal Aeronautical Societyen_UK
dc.titleReduced order system identification for UAVsen_UK
dc.typeArticleen_UK

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