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Data-Driven System Identification of an Aeropendulum

EasyChair Preprint no. 11118

7 pagesDate: October 23, 2023


In this work, we propose a refinement of the aeropendulum platform model, specifically focusing on the modeling of thrust force. We have derived a mathematical model, proposed acquisition schemes for data collection, and conducted experiments to describe the previously overlooked dynamics of the actuator. By utilizing electrical and mechanical information, we have developed a simulation model that comprehensively captures the electrical, mechanical, and aerodynamic behaviors of the system. The results obtained from the simulation data demonstrate the effectiveness of the WSINDy algorithm in accurately determining the thrust coefficient and predicting the dynamics of other variables during the testing phase.

Keyphrases: Aeropendulum, SINDy, Sparse Identification of Nonlinear Dynamics, system identification, WSINDy

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Arthur Dimitri Brito Oliveira and Antonio Marcus Nogueira Lima and Rafael Bezerra Correia Lima},
  title = {Data-Driven System Identification of an Aeropendulum},
  howpublished = {EasyChair Preprint no. 11118},

  year = {EasyChair, 2023}}
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