JOURNAL ARTICLE

Event‐triggered obstacle avoidance tracking control of quadrotor unmanned aerial vehicle

Xia WangWu PengYujun TangLei FuAiwen Meng

Year: 2024 Journal:   International Journal of Adaptive Control and Signal Processing Vol: 38 (10)Pages: 3518-3538   Publisher: Wiley

Abstract

Summary This article addresses the safe tracking control problem of quadrotor unmanned aerial vehicles (QUAV) considering uncertain aerodynamics and unknown external disturbances. First, a robust adaptive backstepping controller is designed, where the bias of the control variable, that is, the tracking error of the attitude subsystem, is considered in the design process of the position subsystem. Meanwhile, the safe obstacle avoidance objective is realized by the quadratic programming (QP) method that combines the tracking controller with the exponential control barrier function (ECBF). Furthermore, an event‐triggered mechanism is used for the QP process to conserve computing resources. Simulation validates the feasibility and superiority of the proposed control scheme in presence of multi‐obstacle.

Keywords:
Obstacle avoidance Tracking (education) Event (particle physics) Computer science Obstacle Control (management) Artificial intelligence Control theory (sociology) Computer vision Control engineering Engineering Mobile robot Psychology Geography Robot Physics

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FWCI (Field Weighted Citation Impact)
59
Refs
0.15
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Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering

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