Disturbance rejection-based adaptive non-singular fast terminal sliding mode control for a quadrotor under severe turbulent wind

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Armando Miranda-Moya , Herman Castañeda , Hesheng Wang
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引用次数: 0

Abstract

This paper presents the design of a disturbance rejection-based control strategy for a quadrotor unmanned aerial vehicle subject to model uncertainties and external disturbances described by turbulent wind gusts of severe intensity. First, an extended state observer is introduced to supply full-state and total disturbance estimations within a fixed time regardless of initial estimation errors. Then, an adaptive non-singular fast terminal sliding mode controller with a single-gain structure is proposed to reduce the tuning complexity and drive the pose of the rotorcraft while providing practical finite-time convergence, robustness to bounded external disturbances, non-overestimation of its control gain, and chattering attenuation. Furthermore, the stability of the closed-loop system is guaranteed through homogeneity and Lyapunov theory. Simulation results obtained through the ROS/Gazebo framework demonstrate graphically and quantitatively that the proposed observer-based controller reduces the influence of perturbations and requires less torque effort than existing methods in the presence of sensor noise.
基于扰动抑制的四旋翼自适应非奇异快终端滑模控制。
针对四旋翼无人机在模型不确定性和强湍流阵风扰动条件下的控制策略,设计了一种基于扰动抑制的控制策略。首先,引入扩展状态观测器,在不考虑初始估计误差的情况下提供固定时间内的全状态和全扰动估计。然后,提出了一种具有单增益结构的自适应非奇异快速终端滑模控制器,该控制器在具有有限时间收敛性、对有界外部干扰的鲁棒性、控制增益的不高估性和抖振衰减的同时,降低了自适应非奇异快速终端滑模控制器的调谐复杂度和驱动旋翼机的姿态。通过齐次性和李雅普诺夫理论保证了闭环系统的稳定性。通过ROS/Gazebo框架获得的仿真结果图形化和定量地表明,在存在传感器噪声的情况下,所提出的基于观测器的控制器减少了扰动的影响,并且比现有方法需要更少的扭矩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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