Decentralized Sampled-Data Fuzzy Tracking Control for a Quadrotor UAV with Communication Delay
نویسندگان
چکیده
This study deals with the decentralized sampled-data fuzzy tracking control of a quadrotor unmanned aerial vehicle (UAV) considering communication delay feedback signal. A Takagi–Sugeno (T–S) approach is adopted to represent UAV as two subsystems: position system and attitude system. Unlike most previous studies, novel controller for proposed. In addition, minimize increase in computational complexity, Lyapunov–Krasovskii functional (LKF) configured only state required each subsystem. The design conditions guaranteeing performance are derived linear matrix inequalities (LMIs) that numerically solved. Lastly, validity proposed method verified by comparing results through simulation examples without delay.
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ژورنال
عنوان ژورنال: Drones
سال: 2022
ISSN: ['2504-446X']
DOI: https://doi.org/10.3390/drones6100280