具有量化通信和跟踪误差约束制导的海洋水面飞行器的有界遏制操纵协议:理论与实验。

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2024-10-03 DOI:10.1109/TCYB.2024.3462757
Hao Wang, Jingyuan Zheng, Jun Fu, Yueying Wang
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引用次数: 0

摘要

本研究为多艘海洋水面航行器(MSV)开发了一种新型的遏制操纵协议,以遵循参数化路径,其中跟踪误差被限制在有限时间内,协调过程中需要传输的信息被量化。为实现多 MSV 的遏制机动,提出了一个双目标协调控制框架。在几何目标方面,通过开发坦型障碍李亚普诺夫函数(BLF)和基于扩展李亚普诺夫条件的有限时间制导定律,参数化视距制导框架的性能(包括收敛速度和跟踪误差约束)得到了改善。在动态目标方面,基于量化控制策略和平滑饱和函数,提出了新颖的有界遏制机动协议,极大地减轻了 MSV 之间的通信负担,并确保在跟踪路径更新速度上更快的动态行为。理论分析和实验测试的对比研究都说明了所提出的遏制机动策略的有效性。
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Bounded Containment Maneuvering Protocols for Marine Surface Vehicles With Quantized Communications and Tracking Errors Constrained Guidance: Theory and Experiment.

A new type of containment maneuvering protocols for multiple marine surface vehicles (MSVs) is developed to follow a parameterized path in this work, where the tracking errors are constrained within finite time and the information needed to be transmitted is quantized during coordination. To achieve containment maneuvering of multiple MSVs, a two-objective coordinated control framework is proposed. For the geometric objective, by developing tan-type barrier Lyapunov functions (BLFs) and extended Lyapunov condition-based finite-time guidance laws, the performance of the parameterized line-of-sight guidance framework, including convergence speed and tracking error constraints, is improved. For the dynamic objective, based on quantized control strategy and smooth saturation functions, novel bounded containment maneuvering protocols are proposed to dramatically alleviate the burden of communications among MSVs and ensure more faster dynamic behavior on tracking the path updating speed. Both theoretical analysis and experimental tests with comparative studies illustrate the validity of the proposed containment maneuvering strategy.

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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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