DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Sunggoo | ko |
dc.contributor.author | Shim, David Hyunchul | ko |
dc.date.accessioned | 2017-01-09T08:55:13Z | - |
dc.date.available | 2017-01-09T08:55:13Z | - |
dc.date.created | 2016-12-13 | - |
dc.date.created | 2016-12-13 | - |
dc.date.issued | 2017-01-11 | - |
dc.identifier.citation | AIAA Science and Technology Forum and Exposition (SciTech) 2017, pp.1 - 6 | - |
dc.identifier.uri | http://hdl.handle.net/10203/216140 | - |
dc.description.abstract | A parameter identification method was proposed for flight vehicles with dynamic models that are difficult to identify due to their highly coupled characteristics. The existing off-axis noise input method, which is used for reducing the correlation between the primary and secondary inputs, has a difficult-to-obtain convergence condition under the hold trim state. In addition, the existing method cannot easily identify high frequency dynamics due to the off-axis input noise. On the other hand, the proposed identification method relied on a computer-generated sweep in the frequency-domain, which could produce a more accurate model than the existing perturbation model. Moreover, the proposed conditional attitude hold logic described the actual pilot's motion by activating the controller when the Euler angle measurements exceeded a pre-defined angle. The proposed method was used with the Bo-105 helicopter nonlinear simulation model, and the identified coupled rotor/fuselage nine-degree-of-freedom results were reliable and comparable to those obtained with the existing perturbation model. | - |
dc.language | English | - |
dc.publisher | American Institute of Aeronautics and Astronautics | - |
dc.title | Helicopter Dynamic Model Identification by Conditional Attitude Hold Logic | - |
dc.title.alternative | 조건부 자세제어 로직을 이용한 헬리콥터 운동모델 식별 | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85068924761 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1 | - |
dc.citation.endingpage | 6 | - |
dc.citation.publicationname | AIAA Science and Technology Forum and Exposition (SciTech) 2017 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Dallas, TX, USA | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Shim, David Hyunchul | - |
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