2017/11/27 by Giovanni Licitra, Licitra, Giovanni, Adrian Bürger +7
Engineering · Mathematics · #Aerospace Engineering and Energy Systems #Aerospace and Aviation Technology #FOS: Mathematics #Optimization and Control (math.OC) #Spacecraft Dynamics and Control #math.OC
paper · pdf · doi:10.48550/arxiv.1711.10010
15 pages, 18 figures, Journal Paper. arXiv admin note: text overlap with arXiv:1711.10007
openalex publication_date 2017/11/27 · arxiv created 2018/07/25 · arxiv updated 2018/07/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Airborne Wind Energy (AWE) refers to a novel technology capable of harvesting energy from wind by flying crosswind patterns with tethered autonomous aircraft. Successful design of flight controllers for AWE systems rely on the availability of accurate mathematical models. Due to the non-conventional structure of the airborne component, the system identification procedure must be ultimately addressed via an intensive flight test campaign to gain additional insight about the aerodynamic properties. In this paper, aerodynamic coefficients are estimated from experimental data obtained within flight tests using an multiple experiment Model Based Parameter Estimation (MBPE) algorithm.