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Design of a UAV Path Tracking Control System Based on ADRC

Published: 18 November 2024 Publication History

Abstract

This paper investigates a trajectory tracking simulation method for quadrotor unmanned aerial vehicles (UAVs). Initially, the Rapidly-exploring Random Tree (RRT) algorithm is utilized to accomplish path planning, followed by cubic spline interpolation to smooth the generated path, forming the target tracking trajectory. Based on this, Active Disturbance Rejection Control (ADRC) and Proportional-Integral-Derivative (PID) controllers are employed to perform trajectory tracking control of the quadrotor UAV. Experimental results demonstrate that the ADRC control method significantly outperforms the traditional PID control method in terms of accuracy and robustness in trajectory tracking, thereby validating the effectiveness and superiority of ADRC in complex trajectory tracking tasks.

References

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D Floreano and R. Wood, "Science technology and the future of small autonomous drones", Nature, vol. 521, pp. 460-466, 2015.
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J. Wu, "Research on improved path planning algorithm based on A-star", Hefei: Anhui University of Technology, 2019.
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S. Sedighi, D. -V. Nguyen and K. -D. Kuhnert, "Guided Hybrid A-star Path Planning Algorithm for Valet Parking Applications," 2019 5th International Conference on Control, Automation and Robotics (ICCAR), Beijing, China, 2019, pp. 570-572
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J. Zhang, J. Yu, X. Qu, and Y. Wu, “Path planning for carrier aircraft based on geometry and dijkstra's algorithm,” in Proc. 3rd IEEE Int. Conf. Control Sci. Syst. Eng., 2017, pp. 115–119.
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J. Chen and J. Yu, "An Improved Path Planning Algorithm for UAV Based on RRT", Proceedings of 4th International Conference on Advanced Electronic Materials Computers and Software Engineering, pp. 895-898, 2021.
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Han Jingqing, "the technique for estimating and compensating the uncertainties: Active Disturbance Rejection Control Technique", 2009.

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    ICCIR '24: Proceedings of the 2024 4th International Conference on Control and Intelligent Robotics
    June 2024
    399 pages
    ISBN:9798400709937
    DOI:10.1145/3687488
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 November 2024

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    Author Tags

    1. ADRC
    2. PID
    3. Path Planning
    4. Trajectory Tracking
    5. UAV

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