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.
Parameter Optimization and Model Validation of Quanser AERO using Modelica and RaPId
11.08.2021
603710 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch