Literature DB >> 30530352

Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results.

Lu Liu, Dan Wang, Zhouhua Peng, Tieshan Li, C L Philip Chen.   

Abstract

This paper addresses the cooperative path following the problem of ring-networked under-actuated autonomous surface vehicles on a closed curve. A cooperative guidance law is proposed at the kinematic level such that a symmetric formation pattern is achieved. Specifically, individual guidance laws of surge speed and angular rate are developed by using a backstepping technique and a line-of-sight guidance method. Then, a coordination design is proposed to update the path variables under a ring-networked topology. The equilibrium point of the closed-loop system has been proven to be globally asymptotically stable. The result is extended to the cooperative path following the lack of sharing of a global reference velocity, and a distributed observer is designed to recover the reference velocity to each vehicle. Moreover, the cooperative path following the presence of an unknown sideslip is considered, and an extended state observer is developed to compensate for the effect of the unknown sideslip. Both simulation and experimental results are provided to illustrate the effectiveness of the proposed cooperative guidance law for the path following over a closed curve.

Year:  2018        PMID: 30530352     DOI: 10.1109/TCYB.2018.2883335

Source DB:  PubMed          Journal:  IEEE Trans Cybern        ISSN: 2168-2267            Impact factor:   11.448


  2 in total

1.  Robust Adaptive Self-Structuring Neural Network Bounded Target Tracking Control of Underactuated Surface Vessels.

Authors:  Haitao Liu; Jianfei Lin; Guoyan Yu; Jianbin Yuan
Journal:  Comput Intell Neurosci       Date:  2021-12-21

2.  Distributed model-free formation control of networked fully-actuated autonomous surface vehicles.

Authors:  Xiaobing Niu; Shengnan Gao; Zhibin Xu; Shiliang Feng
Journal:  Front Neurorobot       Date:  2022-09-29       Impact factor: 3.493

  2 in total

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