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Distributed Active Disturbance Rejection Formation Tracking Control for Quadrotor UAVs.

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    This study introduces a novel control strategy for quadrotor unmanned aerial vehicle (UAV) swarms, ensuring stable formation tracking despite communication changes and disturbances. The method enhances swarm stability and trajectory precision.

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    Area of Science:

    • Robotics and Control Systems
    • Aerospace Engineering
    • Distributed Systems

    Background:

    • Quadrotor unmanned aerial vehicle (UAV) swarms are increasingly complex, requiring robust control for coordinated tasks.
    • Switching communication topologies and unknown disturbances pose significant challenges to swarm stability and formation tracking.

    Purpose of the Study:

    • To develop a distributed active disturbance rejection formation tracking control strategy for quadrotor UAV swarms.
    • To ensure stable attitude and position control under dynamic and uncertain environmental conditions.

    Main Methods:

    • A two-part control strategy: distributed cascade active disturbance rejection control (CADRC) for attitude and distributed formation tracking control for position.
    • Stability analysis to guarantee the overall swarm system's stability.

    Main Results:

    • The attitude subsystem achieves stability despite unknown time-varying disturbances.
    • The position subsystem ensures dynamic formation flying and accurate trajectory tracking for the UAV swarm.
    • The proposed control strategy effectively suppresses disturbances and maintains swarm stability.

    Conclusions:

    • The developed distributed active disturbance rejection formation tracking control strategy is effective for quadrotor UAV swarms.
    • The control method ensures robust performance and stability in the presence of switching topologies and disturbances.
    • This strategy enhances the reliability and precision of UAV swarm operations.