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四旋翼无人机系统的积分终端滑模容错控制

Integral terminal sliding mode fault tolerant control of quadcopter UAV systems.

作者信息

Nguyen Ngoc P, Pitakwachara Phongsaen

机构信息

Department of Mechanical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand.

出版信息

Sci Rep. 2024 May 11;14(1):10786. doi: 10.1038/s41598-024-61273-2.

DOI:10.1038/s41598-024-61273-2
PMID:38734741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11088701/
Abstract

The article presents an active fault-tolerant control scheme with an integral terminal sliding mode controller for the UAV systems. This scheme effectively addresses saturation issues, disturbances, and sensor and actuator faults. Initially, the quadcopter UAV's model is represented in state space form. Subsequently, an augmented system incorporating auxiliary states from sensor faults is developed. An adaptive sliding mode observer is proposed for estimating the actuator and sensor faults. The integral terminal sliding mode fault-tolerant control, designed for altitude and attitude regulation, relies on fault estimation data. In contrast, a cascade proportional-integral-derivative (PID) controller is employed for position control. Simulation results demonstrate the superiority of the proposed method over existing control algorithms.

摘要

本文提出了一种用于无人机系统的带有积分终端滑模控制器的主动容错控制方案。该方案有效地解决了饱和问题、干扰以及传感器和执行器故障。首先,四旋翼无人机的模型以状态空间形式表示。随后,开发了一个包含来自传感器故障的辅助状态的增广系统。提出了一种自适应滑模观测器来估计执行器和传感器故障。为高度和姿态调节设计的积分终端滑模容错控制依赖于故障估计数据。相比之下,位置控制采用级联比例积分微分(PID)控制器。仿真结果表明了所提方法相对于现有控制算法的优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/3d314f62348e/41598_2024_61273_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/81263fa1da9a/41598_2024_61273_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/3d314f62348e/41598_2024_61273_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/a83dcdc8380f/41598_2024_61273_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/7b9685790c60/41598_2024_61273_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/582d05fede73/41598_2024_61273_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/67f70ca5fa99/41598_2024_61273_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/964d0bcf5e8a/41598_2024_61273_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/4c02386c7f54/41598_2024_61273_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/bd0588291076/41598_2024_61273_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/4f1a6ab886eb/41598_2024_61273_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/f8802549b6c7/41598_2024_61273_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/0183ae3de340/41598_2024_61273_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/81263fa1da9a/41598_2024_61273_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ca/11088701/3d314f62348e/41598_2024_61273_Fig12_HTML.jpg

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本文引用的文献

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2
Indirect adaptive fuzzy fault-tolerant tracking control for MIMO nonlinear systems with actuator and sensor failures.多输入多输出非线性系统中存在执行器和传感器故障的间接自适应模糊容错跟踪控制。
ISA Trans. 2018 Aug;79:45-61. doi: 10.1016/j.isatra.2018.04.014. Epub 2018 May 10.
3
Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control.
基于时滞估计和连续非奇异快速终端滑模控制的机器人有限时间容错控制
IEEE Trans Cybern. 2017 Jul;47(7):1681-1693. doi: 10.1109/TCYB.2016.2555307. Epub 2016 Apr 28.