无人机四旋翼飞行器在集中扰动下的最优姿态跟踪控制

IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE
L. Ding, Yangmin Li
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引用次数: 5

摘要

无人机四旋翼飞行器姿态跟踪的鲁棒控制问题是一项具有挑战性的任务,因为飞行动力学中存在较强的参数不确定性、较大的非线性和高度耦合。本文提出了一种基于线性扩展状态观测器的连续非奇异快速终端滑模控制器,用于集中扰动下四旋翼的姿态跟踪控制。所提出的控制方法不需要姿态动力学的先验知识。由于终端滑模面和快速到达规律,可以保证快速收敛和高跟踪精度。控制器使用线性扩展状态观测器来抑制参数不确定性和外部扰动的影响。同时,设计了非奇异快速终端滑模控制策略,以确保状态变量在有限时间内滑动到所需的点。为了提高控制器的控制性能,将自适应果蝇优化算法应用于控制器的参数整定。通过数值模拟和实验验证了该控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances
The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.
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来源期刊
CiteScore
3.00
自引率
7.10%
发文量
13
审稿时长
>12 weeks
期刊介绍: The role of the International Journal of Micro Air Vehicles is to provide the scientific and engineering community with a peer-reviewed open access journal dedicated to publishing high-quality technical articles summarizing both fundamental and applied research in the area of micro air vehicles.
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