TY - GEN
T1 - Optimal Input Design for Flight Vehicle System Identification in Frequency Domain
AU - Hosseini, Barzin
AU - Holzapfel, Florian
N1 - Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Designing the experiments is one of the most important aspects of any system identification and parameter estimation project. The importance of experiment design is even more pronounced in flight vehicle system identification, as performing the experiments, i.e. flight tests is costly. In this work, we present a novel approach for designing optimal inputs for parameter estimation in frequency domain using the direct method for optimal control. We investigate the developed method by means of the optimal control theory and provide numerical results. The approach presented here allows for maximizing the information content in the acquired data during the experiment for a specific frequency band.
AB - Designing the experiments is one of the most important aspects of any system identification and parameter estimation project. The importance of experiment design is even more pronounced in flight vehicle system identification, as performing the experiments, i.e. flight tests is costly. In this work, we present a novel approach for designing optimal inputs for parameter estimation in frequency domain using the direct method for optimal control. We investigate the developed method by means of the optimal control theory and provide numerical results. The approach presented here allows for maximizing the information content in the acquired data during the experiment for a specific frequency band.
UR - http://www.scopus.com/inward/record.url?scp=85123889401&partnerID=8YFLogxK
U2 - 10.2514/6.2022-2297
DO - 10.2514/6.2022-2297
M3 - Conference contribution
AN - SCOPUS:85123889401
SN - 9781624106316
T3 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
BT - AIAA SciTech Forum 2022
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Y2 - 3 January 2022 through 7 January 2022
ER -