Birotor Coaxial Model Estimation using Different Influence Function of Cultural Algorithm
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 sour...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01012.pdf |
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| Summary: | 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. |
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| ISSN: | 2271-2097 |