Reconfigurable Minimum-Time Autonomous Marine Vehicle Guidance in Variable Sea Currents

IF 1.3 Q4 AUTOMATION & CONTROL SYSTEMS
Kangsoo Kim
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Abstract

In this chapter, we present an approach of reconfigurable minimum-time guidance of autonomous marine vehicles moving in variable sea currents. Our approach aims at suboptimality in the minimum-time travel between two points within a sea area, compensating for environmental uncertainties. Real-time reactive revisions of ongoing guidance followed by tracking controls are the key features of our reconfigurable approach. By its reconfigurable nature, our approach achieves suboptimality rather than optimality. As the basic tool for achieving minimum-time travel, a globally working numerical procedure deriving the solution of an optimal heading guidance law is presented. The developed solution procedure derives optimal reference headings that achieve minimum-time travel of a marine vehicle in any deterministic sea currents including uncertainties, whether stationary or time varying. Pursuing suboptimality, our approach is robust to environmental uncertainties compared to others seeking rigorous optimality. As well as minimizes the traveling time, our suboptimal approach works as a fail-safe or fault-tolerable strategy for its optimal counterpart, under the condition of environmental uncertainties. The efficacy of our approach is validated by simulated vehicle routings in variable sea currents.
可变海流中可重构最小时间自主船舶导航
在本章中,我们提出了一种可重构的在可变海流中移动的自主船舶的最小时间制导方法。我们的方法的目标是在一个海域内两点之间的最短时间旅行的次优性,补偿环境的不确定性。跟踪控制的持续指导的实时反应修订是我们可重构方法的关键特征。由于其可重构的特性,我们的方法实现了次最优性而不是最优性。作为实现最小行程的基本工具,提出了求解最优航向制导律的全局工作数值方法。所开发的求解程序可获得船舶在任何确定性海流(包括不确定性海流,无论是静止海流还是时变海流)中实现最小时间行程的最佳参考航向。与追求严格最优的方法相比,我们的方法追求次最优,对环境不确定性具有鲁棒性。在环境不确定的条件下,我们的次优方法不仅可以最小化旅行时间,还可以作为最优策略的故障安全或容错策略。通过模拟不同海流下的车辆路线,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Automation and Control
International Journal of Automation and Control AUTOMATION & CONTROL SYSTEMS-
自引率
41.70%
发文量
50
期刊介绍: IJAAC addresses the evolution and realisation of the theory, algorithms, techniques, schemes and tools for any kind of automation and control platforms including macro, micro and nano scale machineries and systems, with emphasis on implications that state-of-the-art technology choices have on both the feasibility and practicability of the intended applications. This perspective acknowledges the complexity of the automation, instrumentation and process control methods and delineates itself as an interface between the theory and practice existing in parallel over diverse spheres. Topics covered include: -Control theory and practice- Identification and modelling- Mechatronics- Application of soft computing- Real-time issues- Distributed control and remote monitoring- System integration- Fault detection and isolation (FDI)- Virtual instrumentation and control- Fieldbus technology and interfaces- Agriculture, environment, health applications- Industry, military, space applications
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