当前位置: X-MOL 学术Control Eng. Pract. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Guidance and control methodologies for marine vehicles: A survey
Control Engineering Practice ( IF 4.9 ) Pub Date : 2021-03-16 , DOI: 10.1016/j.conengprac.2021.104785
Hamid Reza Karimi , Yanyang Lu

Offshore mechatronics systems engineering has recently received high attentions in various sectors such as energy, transportation, etc. Specifically, offshore robotic vehicles have become challenging topics in terms of design, guidance, control and maintenance aspects. Based on these reasons, in this article, some recent developments on the guidance and control methodologies for marine robotic vehicles are surveyed. The application-oriented methodologies under consideration mainly include fuzzy-based control design approach, neural network-based control design scheme, dynamic surface control strategy, feedback control technique as well as sliding model control method, for instance. With the help of these methodologies, the developments on various guidance and robust control issues are reviewed in great detail. In practical engineering, guidance and control design problems are mainly addressed for the maneuvering, path following, trajectory tracking, formation control and consensus. In particular, the state of art of the solution to guidance and control issues for marine robotic vehicles under different control methodologies is addressed respectively. Finally, some latest research results in filtering and control design developments are introduced, some conclusions are drawn and several possible future research directions based on the latest results are pointed out.



中文翻译:

船用车辆的制导与控制方法:一项调查

近海机电一体化系统工程最近在能源,运输等各个领域受到高度重视。特别是,近海机器人车辆在设计,制导,控制和维护方面已成为具有挑战性的主题。基于这些原因,在本文中,对船用机器人车辆的制导和控制方法进行了一些最新研究。考虑的面向应用的方法主要包括基于模糊的控制设计方法,基于神经网络的控制设计方案,动态表面控制策略,反馈控制技术以及滑动模型控制方法。在这些方法的帮助下,对各种指导和鲁棒控制问题的发展进行了详尽的评论。在实际工程中 制导和控制设计问题主要针对机动,路径跟踪,轨迹跟踪,编队控制和共识。特别地,分别解决了在不同控制方法下的海上机器人车辆的制导和控制问题的解决方案的技术水平。最后,介绍了一些有关滤波和控制设计发展的最新研究成果,得出了一些结论,并指出了基于最新成果的一些可能的未来研究方向。

更新日期:2021-03-16
down
wechat
bug