VNHC-Based Continuous Sliding Mode Control for an Underactuated Tethered UAV System

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-10-30 DOI:10.1109/TIE.2024.3481989
Junjie Kang;Jinjun Shan;Hassan Alkomy
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Abstract

This article introduces a novel continuous sliding mode control strategy for transporting a tethered payload by a UAV. A key contribution of this work is the development of a feasible sliding manifold based on virtual nonholonomic constraints (VNHC), addressing the longstanding challenge of stabilizing both actuated and unactuated states in underactuated systems. Our approach constructs an explicit sliding manifold, a task previously unachieved for tethered UAV systems, and designs a continuous sliding mode controller to guide system states onto this manifold. The proposed continuous sliding mode controller effectively mitigates undesirable chattering effects and facilitates feasible attitude extraction. Rigorous proofs are provided for the finite time reachability of the sliding manifold and the asymptotic stability of the reduced dynamics on the manifold, using the invariance principle and homogeneous stability for the differential inclusion. Numerical simulations and experiments are conducted to validate the effectiveness of the proposed controller.
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基于 VNHC 的欠驱动系留无人机系统连续滑动模式控制
本文介绍了一种用于无人机系留载荷运输的连续滑模控制策略。这项工作的一个关键贡献是开发了一种基于虚拟非完整约束(VNHC)的可行滑动歧管,解决了在欠驱动系统中稳定驱动和非驱动状态的长期挑战。我们的方法构建了一个明确的滑动流形,这是以前未实现的系留无人机系统的任务,并设计了一个连续滑模控制器来引导系统状态到该流形上。所提出的连续滑模控制器有效地减轻了系统的抖振效应,便于系统可行的姿态提取。利用微分包含的不变性原理和齐次稳定性,给出了滑动流形的有限时间可达性和流形上约化动力学的渐近稳定性的严格证明。通过数值仿真和实验验证了所提控制器的有效性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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