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Successive Waypoints Tracking of an Underactuated Surface Vehicle

机译:连续航点跟踪底层表面车辆

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摘要

In marine guard, patrol, and racing scenarios, it is of great importance to autonomously helm an underactuated surface vehicle (USV) to accurately achieve successive waypoints tracking (SWT) with prescribed velocities and courses. In this paper, in the presence of completely unknown dynamics and environmental forces, the emerging SWT problem is innovatively solved by creating a novel model-free guidance-control integrated framework. In lieu of direct guidance to the waypoint which inevitably suffers from singularity, a new tool called bridge trajectory (BT) exactly passing through the generalized waypoint (GW) is first developed by defining marching and ahead points, i.e., a marching point (MP) and an ahead point (AP). Combining with pursuit guidance and finite-time unknown observer (FUO), successive BTs are switched ON and OFF, with the aid of MP and AP, respectively. By virtue of the FUO, cascade analysis, filtered backstepping, and Lyapunov approach, BT tracking control laws for surge and yaw motions are further synthesized to ensure successive GWs with desired positions, velocities, and courses can be tracked accurately, and thereby eventually contributing to a BT-guided model-free solution to the SWT problem. Simulation studies on a benchmark USV demonstrate remarkable performance of the proposed method.
机译:在海洋警卫,巡逻和赛车场景中,自动掌控潜在的表面车(USV)非常重视,以准确达到连续的航路点跟踪(SWT),具有规定的速度和课程。本文在存在完全未知的动态和环境力量的情况下,通过创建一种新的无模型指导控制综合框架,新兴的SWT问题是创新的解决。代替直接指导,不可避免地遭受奇点的航点,首先通过定义行进和前进点,即行进点(MP)来开发一种名为桥梁轨迹(BT)的新工具。和前面点(ap)。结合追求引导和有限时间未知的观察者(FUO),连续BTS分别通过MP和AP接通和断开。借助于福诺,级联分析,滤波后挡,和Lyapunov方法,进一步合成了用于浪涌和偏航运动的BT跟踪控制规律,以确保能够准确地跟踪所需位置,速度和课程的连续GW,从而最终贡献对SWT问题的一个BT引导的模型解决方案。基准USV的仿真研究表明了所提出的方法的显着性能。

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