Robust model‐free adaptive longitudinal flight control for a flapping wing micro air vehicle with wind disturbances

In this paper, two robust model‐free adaptive control (RMFAC) methods are proposed for a nonlinear flapping wing micro air vehicle (FWMAV) subject to measurable and unmeasurable wind disturbances. Firstly, a novel disturbance‐related full‐form dynamic linearization technique (DFFDL) is developed to...

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Bibliographic Details
Published in:International journal of robust and nonlinear control Vol. 33; no. 17; pp. 10425 - 10450
Main Authors: Yang, Zunyao, Hou, Zhongsheng, Jin, Shangtai
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 25.11.2023
Subjects:
Adaptive control
Disturbances
Flapping wings
Flight control
Linearization
Micro air vehicles (MAV)
Robust control
Stability analysis
Tracking errors
ISSN:1049-8923, 1099-1239
Online Access:Get full text
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Summary:In this paper, two robust model‐free adaptive control (RMFAC) methods are proposed for a nonlinear flapping wing micro air vehicle (FWMAV) subject to measurable and unmeasurable wind disturbances. Firstly, a novel disturbance‐related full‐form dynamic linearization technique (DFFDL) is developed to transform the FWMAV with measurable disturbances into a dynamic linearization data model. Then, a DFFDL based RMFAC method is designed based on the obtained data model for the FWMAV to suppress the wind disturbances. Next, the stability analysis shows that the system output tracking error converges into a bounded range. And the above result is extended to the case of unmeasurable disturbances. Finally, the simulation comparison results demonstrate the effectiveness of two proposed RMFAC methods.
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.6527