This paper presents an overview of the process for optimizing key electrical, mechanical, and aerodynamical parameters of a multi-domain model of the Quanser AERO, a reconfigurable, benchtop, twin-rotor system using RaPId, an open-source, modular toolbox for model validation and parameter estimation in MATLAB and Simulink. A particle swarm optimization algorithm and a constrained nonlinear optimization algorithm are compared for their efficacy in optimizing the afformentioned parameters of the AERO model in an effort to more accurately model the behavior of the device.
|Original language||English (US)|
|Title of host publication||AIAA Propulsion and Energy 2021 Forum|
|Publisher||American Institute of Aeronautics and Astronautics|
|State||Published - Jul 28 2021|
Bibliographical noteKAUST Repository Item: Exported on 2022-06-21
Acknowledged KAUST grant number(s): OSR-2019-CoE-NEOM-4178.12
Acknowledgements: This work was supported in whole or in part by the National Aeronautics and Space Administration through the University Leadership Initiative Award Number 80NSSC19M0125 for the Center for High-Efficiency Electrical Technologies for Aircraft (CHEETA), and in part by the Center of Excellence for NEOM Research at the King Abdullah University of Science and Technology under grant OSR-2019-CoE-NEOM-4178.12. The second author is supported through the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE 1744655 and the Chateaubriand Fellowship of the Office for Science & Technology of the Embassy of France in the United States.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.