文章基本信息

标题：Model-free adaptive control for the heading angle of a UAV
本地全文：下载
作者：Di Li ; Kun Shu
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2021
卷号：257
页码：1-5
DOI：10.1051/e3sconf/202125701061
语种：English
出版社：EDP Sciences
摘要：The difficulty of accurately modeling the aerodynamics of the heading angle of unmanned aerial vehicles is well known. Furthermore, it is difficult to control the heading angle of an unmanned aerial vehicle (UAV) with a model-based method under the influence of wind disturbances. To address this problem, a novel model-free control strategy is proposed. First, a self-organizing type-2 fuzzy brain emotional learning network model is used to estimate the PPD (pseudo partial derivative). Finally, the stability is guaranteed by designing the Lyapunov function. Meanwhile, the performance of the proposed method is further verified by high-fidelity semi-physical simulations.