Fractional finite-time control for robust tracking of nonlinear systems subject to Hölder disturbances with application to UAVs

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

The aim of the present article is to design a robust fractional-order (FO) finite-time (FnT) control able to tackle Hölder disturbances of second-order nonlinear systems. First, a novel sliding manifold with Arc-Tangent function is suggested for second nonlinear systems. It has been proven that the system states globally converge to the origin in FnT using the proposed sliding mode variable. To ensure a FnT stability of the sliding variable, a robust control is developed. By using fractional operators, a uniformly continuous control law is designed to tackle Hölder disturbances. Furthermore, the suggested approach is shown to be resistant to matched Hölder disturbances and uncertainties that are continuous but not necessarily differentiable. Moreover, the FnT stability of quadrotors using the proposed control, that is our second result. The quadrotor simulations analysis demonstrates the practicality of the proposed FnT controller in the presence of Hölder disturbances.

将分数有限时间控制用于受霍德尔干扰的非线性系统的鲁棒跟踪,并应用于无人飞行器。
本文旨在设计一种稳健的分数阶(FO)有限时间(FnT)控制,以应对二阶非线性系统的赫尔德干扰。首先,针对二阶非线性系统提出了一种带有弧-切函数的新型滑动流形。事实证明,使用所提出的滑动模式变量,系统状态在 FnT 时会全局收敛到原点。为确保滑动变量的 FnT 稳定性,开发了一种鲁棒控制。通过使用分数算子,设计了一种均匀连续的控制法则,以应对赫尔德干扰。此外,建议的方法还能抵御匹配的霍尔德干扰和连续但不一定可微的不确定性。此外,我们的第二个结果是,采用所建议的控制方法的四旋翼飞行器具有 FnT 稳定性。四旋翼飞行器的仿真分析表明了所建议的 FnT 控制器在霍尔德干扰下的实用性。
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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