Real-Time Model-Free Minimum-Seeking Autotuning Method for Unmanned Aerial Vehicle Controllers Based on Fibonacci-Search Algorithm

The paper presents a novel autotuning approach for finding locally-best parameters of controllers on board of unmanned aerial vehicles (UAVs). The controller tuning is performed fully autonomously during flight on the basis of predefined ranges of controller parameters. Required controller propertie...

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Detalles Bibliográficos
Autores principales: Giernacki, Wojciech, Horla, Dariusz, Báča, Tomáš, Saska, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359052/
https://www.ncbi.nlm.nih.gov/pubmed/30646579
http://dx.doi.org/10.3390/s19020312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359052/
https://www.ncbi.nlm.nih.gov/pubmed/30646579
http://dx.doi.org/10.3390/s19020312

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