具有推力偏差故障的四旋翼飞行器基于扰动观测器的终端滑模控制

IF 1.8 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Pouria Eskandarzadeh, Moosa Ayati, Parham Rezaei
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引用次数: 0

摘要

本文介绍了一种利用滑动模式控制器在出现结构故障时有效控制四旋翼飞行器的新方法。虽然之前的研究已经广泛探索了无人机的容错控制,特别是针对故障致动器和传感器的容错控制,但在解决出现结构性故障的四旋翼飞行器的控制方法方面仍存在巨大差距。我们特别关注四旋翼飞行器的一个旋翼出现故障,导致推力从垂直轴转移,从而使传统控制方法复杂化的情况。我们提出的方法包括两个关键步骤:首先,使用终端滑模观测器识别故障矢量;其次,根据估计的故障矢量,使用滑模方法计算适当的控制输入。仿真结果证明了这种方法的鲁棒性,即使在存在多种故障和干扰的情况下也能显示出精确的控制性能。系统的可靠性取决于干扰观测器的估计误差能否在有限的时间内收敛为零。总之,所开发的控制器为在高非线性和不确定性条件下安全控制故障四旋翼飞行器提供了可靠的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disturbance-observer-based terminal sliding mode control of the quadrotor with thrust deviation fault
This paper presents a novel approach utilizing a sliding mode controller to control a quadrotor effectively in the presence of structural faults. While previous research has extensively explored fault-tolerant control for UAVs, particularly addressing faulty actuators and sensors, there remains a significant gap in addressing control methods for quadrotors experiencing structural faults. We focus specifically on scenarios where a fault in one of the quadrotor’s rotors diverts thrust from the vertical axis, complicating traditional control methods. Our proposed method involves two key steps: firstly, identifying the fault vector using a terminal sliding mode observer, and secondly, calculating appropriate control inputs using a sliding mode method based on the estimated fault vector. Simulation results demonstrate the robustness of this approach, showing accurate control performance even in the presence of multiple faults and disturbances. The system’s reliability hinges on the convergence of the disturbance observer’s estimation error to zero within a finite time frame. In conclusion, the developed controller offers a dependable solution for safely controlling a faulty quadrotor amidst high nonlinearity and uncertainty.
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来源期刊
CiteScore
3.80
自引率
10.00%
发文量
625
审稿时长
4.3 months
期刊介绍: The Journal of Mechanical Engineering Science advances the understanding of both the fundamentals of engineering science and its application to the solution of challenges and problems in engineering.
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