Скачать или смотреть Parameter Optimization and Model Validation of Quanser AERO using Modelica and RaPId - 2021 EATS

Presenter: Eric Segerstrom

Citation: E. Segerstrom, M. Podlaski, A. Khare and L. Vanfretti, “Parameter Estimation and Model Validation of Quanser AERO using Modelica and RaPId,” 2021 AIAA Propulsion & Energy Forum, September 9-11, 2021, Denver, Colorado.

Author’s copy: https://ecse.rpi.edu/~vanfrl/document...

Abstract:
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 simulate the behavior of the device.