| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 7 | |
| Section | Artificial Intelligence | |
| DOI | https://doi.org/10.1051/itmconf/20246901012 | |
| Published online | 13 December 2024 | |
Birotor Coaxial Model Estimation using Different Influence Function of Cultural Algorithm
1 Laboratory of Electrical Systems, Energy Efficiency And Telecommunications (LSEEET), Faculty of Science and Technology, Cadi Ayyad University - Marrakech, Morocco
2 Departement of Mathematics and Systems Royal School of Aeronautics - Marrakech, Morocco
* e-mail: mohamed.azegmout@gmail.com
This work investigates the estimation of a coaxial birotor UAV’s model parameters by utilizing four influence function of Cultural Algorithm (CA). The CA is regarded as a strong algorithm that can adapt to a variety of problems. In this case, we are utilizing Situational and Normative knowledge sources, evaluating the efficacy of the proposed techniques is believed to depend on applying these tactics to uncover the coaxial birotor’s autonomous complicated and nonlinear dynamics. The coaxial birotor model’s parameters are retrieved using intelligent CA-(NS), CA-(SD), CA-(SD+NS), and CA-(ND+NS) techniques after the birotor dynamic modeling is defined using the Newton-Euler formalism. Ultimately, simulation results demonstrate the superior efficiency of CA-(SD+NS) in birotor identification parameter optimization.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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