Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles

This paper addresses the problem of building trust in the online prediction of a battery powered UAV’s remaining available flying time. A series of ground tests is described that make use of an electric unmanned aerial vehicle (eUAV) to verify the performance of remaining flying time predictions. Th...

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Detalles Bibliográficos
Autores principales: Hogge, Edward F., Bole, Brian M., Vazquez, Sixto L., Kulkarni, Chetan S., Strom, Thomas H., Hill, Boyd L., Smalling, Kyle M., Quach, Cuong C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051181/
https://www.ncbi.nlm.nih.gov/pubmed/33868769
http://dx.doi.org/10.36001/ijphm.2018.v9i1.2700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051181/
https://www.ncbi.nlm.nih.gov/pubmed/33868769
http://dx.doi.org/10.36001/ijphm.2018.v9i1.2700

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