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Observer-based suppression of the wing-rock oscillations using function approximation technique
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DOI：10.1063/5.0247902.png)
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摘要
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The dynamics of wing rock motion with varying angles of attack are notably uncertain and subject to external disturbances. This study introduces a robust adaptive control method, using an observer-based strategy with Fourier Series (FS) expansion as uncertainty estimators to mitigate wing rock oscillations in slender delta wings. The lumped uncertainties, including external disturbances and unmodeled dynamics, are initially represented using the FS. Adaptation laws, based on stability analysis, are then applied to adjust the FS coefficients. An essential aspect of the proposed strategy is that it eliminates the need for an accurate plant model, precise knowledge of uncertainties, and roll rate measurements, making it more cost-effective and suitable for practical applications. Using the Lyapunov lemma, the paper guarantees that the error signals in the controlled system remain Uniformly Ultimately Bounded. Simulation results highlight the efficiency and versatility of the proposed approach. The outcomes are compared with two advanced estimation methods to showcase the efficiency and accuracy of the suggested controller design.
Keyword:
CONTROLLER
MOTION
SYSTEM
期刊
IF:
4.3
论文数:
2.9W
被引数:
8.0W
机构
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