Sliding mode control with power-type barrier function for autonomous aerial refueling based on disturbance observer
Jintao Hu1, Yunjie Wu1, Shanwei Su1
1School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China; State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, 100191, China; Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, 100191, China.
Autonomous aerial refueling (AAR) faces challenges from wind gusts. This study introduces a novel disturbance-rejection sliding mode control (SMC) strategy using barrier functions to enhance aircraft docking precision and stability.
Area of Science:
- Aerospace Engineering
- Control Systems Theory
- Robotics
Background:
- Autonomous aerial refueling (AAR) requires precise control, especially during docking.
- Abrupt atmospheric disturbances, like wind gusts, significantly degrade control accuracy and safety.
Purpose of the Study:
- To develop an advanced disturbance-rejection sliding mode control (SMC) strategy for receiver aircraft in AAR.
- To improve the robustness and tracking accuracy of AAR systems under abrupt external disturbances.
Main Methods:
- An estimator-based disturbance observer was developed for feedforward compensation and chattering mitigation in SMC.
- A single-power barrier function-based SMC (SPBFSMC) was introduced for rapid compensation of estimation errors.
- A dual-power barrier function-based SMC (DPBFSMC) was proposed, combining two SPBFSMC methods for enhanced convergence and accuracy.
Main Results:
- The disturbance observer effectively compensates for time-varying disturbances without needing prior knowledge of their bounds.
- SPBFSMC ensured rapid convergence and avoided gain overestimation under abrupt disturbances.
- DPBFSMC achieved a smaller final convergence region, significantly improving tracking accuracy.
Conclusions:
- The proposed barrier function-based SMC strategy enhances AAR control precision and robustness against abrupt disturbances.
- The dual-power approach offers superior tracking accuracy by minimizing the convergence region.
- Lyapunov stability analysis confirmed the closed-loop system's stability, validated by simulations.
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