Fixed-Time Neural Control of a Quadrotor UAV With Input and Attitude Constraints
نویسندگان
چکیده
This letter is concerned with the attitude control of a quadrotor unmanned aerial vehicle (UAV) subject to input constraint, constraint and model uncertainty. Firstly, we construct an auxiliary system eliminate adverse impact saturation. Secondly, introduce nonlinear state-dependent function deal directly. Thirdly, neural network utilized identify unknown terms in system. Finally, help backstepping technology, fixed-time scheme presented, which guarantees that desired signal followed convergent rate. The effectiveness proposed validated by simulation verification.
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ژورنال
عنوان ژورنال: IEEE/CAA Journal of Automatica Sinica
سال: 2023
ISSN: ['2329-9274', '2329-9266']
DOI: https://doi.org/10.1109/jas.2023.123045