Adaptive Neural Network Control for Fixed-Wing UAV With Disturbance Observer Under Switching Disturbance

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dc.contributor.authorHuang, Z.
dc.contributor.authorChen, M.
dc.contributor.authorShi, P.
dc.contributor.authorShen, H.
dc.date.issued2025
dc.descriptionDate of Publication 6 November 2024
dc.description.abstractThe adaptive neural network (NN) control for the fixed-wing unmanned aerial vehicle (FUAV) under the unmodeled dynamics and the time-varying switching disturbance (TVSD) is investigated in this article. To better describe the TVSD induced by the change in the flight area of the FUAV, a switching augmented model (SAM) based on the known information about the TVSD is proposed first. The parameter adaptation technique is used to estimate the related TVSD. Thereafter, the time-varying disturbance that cannot be described by the SAM is estimated by the disturbance observer (DO). The radial basis function NN (RBFNN) is adopted to approximate the unknown unmodeled dynamics. The coupling terms derived from the co-design of DO and the parameter adaptation (PA) are separated by some inequality techniques. Then, the separated unknown terms are eliminated by designing the parameters of the controller and that of the adaptive law. The separated known terms are tackled by adding robust control terms to the controller. In addition, to improve the estimation performance for the TVSD and RBFNN, the auxiliary system in the DO form is designed. Sufficient stable conditions about the closed-loop switched system (CLSS) are obtained with and without the inequality about the switching times. Finally, an illustrative example is given to show the feasibility and advantage of the proposed control strategy by the attitude model of the FUAV.
dc.description.statementofresponsibilityZhengguo Huang, Mou Chen, Peng Shi, Hao Shen
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems, 2025; 36(6):11520-11533
dc.identifier.doi10.1109/TNNLS.2024.3477745
dc.identifier.issn2162-237X
dc.identifier.issn2162-2388
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttps://hdl.handle.net/2440/144739
dc.language.isoen
dc.publisherIEEE
dc.relation.granthttp://purl.org/au-research/grants/arc/DP240101140
dc.rights© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
dc.source.urihttp://dx.doi.org/10.1109/tnnls.2024.3477745
dc.subjectDisturbance observer (DO); fixed-wing unmanned aerial vehicle (FUAV); parameter decoupling; switching disturbance
dc.titleAdaptive Neural Network Control for Fixed-Wing UAV With Disturbance Observer Under Switching Disturbance
dc.typeJournal article
pubs.publication-statusPublished

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