Abstract
This study deals with the decentralized sampled-data fuzzy tracking control of a quadrotor unmanned aerial vehicle (UAV) considering the communication delay of the feedback signal. A decentralized Takagi–Sugeno (T–S) fuzzy approach is adopted to represent the quadrotor UAV as two subsystems: the position control system and the attitude control system. Unlike most previous studies, a novel decentralized controller considering the communication delay for the position control system is proposed. In addition, to minimize the increase in computational complexity, the Lyapunov–Krasovskii functional (LKF) is configured as the only state required for each subsystem. The design conditions guaranteeing the tracking performance of the quadrotor UAV are derived as linear matrix inequalities (LMIs) that are numerically solved. Lastly, the validity of the proposed design method is verified by comparing the results through simulation examples with and without communication delay.
Funder
National Research Foundation of Korea
Subject
Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering
Reference48 articles.
1. A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms
2. Modelling and PID controller design for a quadrotor unmanned air vehicle;Salih;Proceedings of the IEEE International Conference on Automatation, Quality and Testing, Robotics (AQTR),2010
3. Dynamic analysis and PID control for a quadrotor;Li;Proceedings of the IEEE International Conference on Mechatronics and Automation,2011
4. Robust PID control of the quadrotor helicopter;Gaicia;IFAC Proc.,2012
5. Design of the Outdoor Cruising Control System of the Quadrotor Drone
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