Fixed-time safety tracking control of QUAV under external disturbances using robust high-order time-varying control
Lan Duo1, Hongtao Yin1, Ping Fu1
1School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
This study introduces a robust control scheme for quadrotor drones, ensuring safety and optimal trajectory tracking even with obstacles and disturbances. The innovative method guarantees fast, reliable convergence regardless of the drone's starting position.
Area of Science:
- Robotics
- Control Systems
- Aerospace Engineering
Background:
- Quadrotor unmanned aerial vehicles (QUAVs) face challenges in dynamic environments with obstacles and external disturbances.
- Ensuring safety, stability, and precise trajectory tracking in such conditions is critical for QUAV operation.
- Existing control methods may struggle with unknown disturbance bounds or require specific initial conditions for convergence.
Purpose of the Study:
- To develop a robust fixed-time safety control scheme for QUAVs.
- To address dynamic obstacle avoidance and external disturbance rejection simultaneously.
- To achieve state convergence in a fixed-time, independent of initial states.
Main Methods:
- Design of a robust high-order time-varying control barrier function (R-HO-TV-CBF) for obstacle avoidance constraints.
- Development of a nonsingular fixed-time sliding mode control (NFxSMC) for guaranteed fixed-time convergence.
- Integration of R-HO-TV-CBF and NFxSMC for a comprehensive control strategy.
Main Results:
- The proposed R-HO-TV-CBF effectively handles dynamic obstacle avoidance and suppresses oscillations without prior disturbance bound assumptions.
- The NFxSMC ensures fixed-time convergence, irrespective of the QUAV's initial state.
- Simulation results validate superior performance in obstacle avoidance, disturbance rejection, and rapid error convergence.
Conclusions:
- The robust fixed-time safety control scheme significantly enhances QUAV performance in complex environments.
- The integrated approach provides a reliable solution for safety-critical autonomous flight applications.
- This control strategy offers improved robustness and convergence properties compared to existing methods.
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