通过多任务切换制导实现海洋牧场 AMV 的结构同步动态事件触发控制

IF 7.9 1区 工程技术 Q1 ENGINEERING, CIVIL
Guoqing Zhang;Shilin Yin;Chenfeng Huang;Weidong Zhang;Jiqiang Li
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引用次数: 0

摘要

为了提高海洋牧场作业的自主性,本文利用结构同步动态事件触发机制(DETM)解决了牧场自主海洋车辆(AMVs)的协同编队控制和多任务切换问题。在所提出的算法中,采用了自适应势船(APS)技术来保证制导信号的完整性和连续性。结合制导原理,提出了一种采用 DETM 和神经网络(NN)的协同编队控制算法。由于 DETM 的优点,从传感器到控制器以及从控制器到执行器的信道中的通信负担得以减轻。与现有成果不同的是,拟议的 DETM 可以在触发时间同步激活阈值参数、自适应参数和神经网络权重估计器。这大大减轻了计算负担。在通过李亚普诺夫定理保证半全局均匀终极约束(SGUUB)稳定性方面,也做了大量工作。最后,还进行了两次海洋牧场路径跟踪模拟和对比实例,以评估所提策略的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure Synchronized Dynamic Event-Triggered Control for Marine Ranching AMVs via the Multi-Task Switching Guidance
To improve the autonomy of marine ranching operations, this paper addresses the cooperative formation control and multi-task switching problem of ranch autonomous marine vehicles (AMVs) with the structure synchronized dynamic event-triggered mechanism (DETM). In the proposed algorithm, adaptive potential ship (APS) technique is adopted to guarantee the integrity and continuity of the guidance signal. Combined with the guidance principle, a cooperative formation control algorithm is proposed by employing the DETM and neural networks (NNs). The communication burden in the channel from the sensor to the controller and from the controller to actuator has been reduced for the merits of the proposed DETM. Unlike the existing results, the proposed DETM can activate the threshold parameters, adaptive parameters and NNs weight estimators at the triggering times synchronously. This releases the computation burden greatly. Considerable effort has been made to guarantee the semi-globally uniformly ultimately bounded (SGUUB) stability via the Lyapunov theorem. Finally, two simulations consist of the marine ranching path following and comparative example are carried out to evaluate the advantages of the proposed strategy.
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来源期刊
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems 工程技术-工程:电子与电气
CiteScore
14.80
自引率
12.90%
发文量
1872
审稿时长
7.5 months
期刊介绍: The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical activities among IEEE entities, and providing a focus for cooperative activities, both internally and externally.
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