通过奇异扰动和互联系统技术实现欠驱动自动潜航器的输出反馈路径跟踪控制

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

摘要

本文重点研究了在多种不确定性和速度无法测量的情况下,对欠驱动自主水下航行器进行路径跟踪的输出反馈控制。首先,本文提出了一种新颖的扩展状态观测器来估计不匹配的叠加扰动并恢复未测量的速度。在此基础上,为克服仅依赖精确运动模型的局限性,开发了基于扰动观测器的稳定控制器。由于观测器和车辆动力学之间的带宽不同,因此可以采用标准奇异扰动理论进行数学设置。在快速模式下,采用新颖的物理视角设计了一个运动观测器,以消除由未知攻击角速度和令人望而却步的路径-切向角速度引起的系统不确定性。在慢速模式下,通过将反步进技术与时标分解方法相结合,提出了一种互联系统控制法则。此外,还确定了整个闭环系统的稳定性。最后,还给出了仿真结果,以证明所提出的方法在垂直面上对欠驱动自主水下航行器的路径跟踪的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Output-feedback path-following control of underactuated AUVs via singular perturbation and interconnected-system technique

This paper focuses on the output-feedback control for path-following of underactuated autonomous underwater vehicles subject to multiple uncertainties and unmeasured velocities. First, a novel extended state observer is proposed to estimate the mismatched lumped disturbance and recover the unmeasured velocities. Based on this premise, to overcome the limitation of relying solely on the accurate kinematic model, a disturbance observer-based stabilizing controller is developed. The difference in bandwidths between the observer and the vehicle dynamics allows for a mathematical setup amenable to standard singular perturbation theory. In the fast mode, a kinematic observer is designed to reject system uncertainty caused by unknown attack angular velocity and prohibitive path-tangential angular velocity, using a novel physical perspective. In the slow mode, an interconnected-system control law is proposed by integrating the backstepping technique with the time scale decomposition method. Furthermore, the stability of the overall closed-loop system is established. Finally, simulation results are presented to demonstrate the effectiveness of the proposed method for path-following of underactuated autonomous underwater vehicles in the vertical plane.

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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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