Time optimal control of a non-linear surface vehicle subject to disturbances

IF 1.8 Q3 AUTOMATION & CONTROL SYSTEMS IFAC Journal of Systems and Control Pub Date : 2022-09-01 DOI:10.1016/j.ifacsc.2022.100195
Ayal Taitler , Ilya Ioslovich , Erez Karpas , Per-Olof Gutman
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Abstract

The problem of an autonomous agent moving on a planar surface, such as an aerial drone or a small naval vessel can be treated as navigation between a series of points. While nominally the movement between each pair of points can be treated as a 1D projection of the movement on the vector connecting the two points, in the presence of disturbances, the full problem on the plane must be considered. The time optimal solution is now dependent on the value and direction of the disturbance which in this paper is assumed to be a constant inertial velocity of the medium (wind or current, respectively). We address the minimum time problem of movement on a 2D plane with quadratic drag, under norm state (inertial vessel velocity), and norm control (acceleration) constraints. The structure and properties of the optimal solution are found and analyzed, utilizing the Pontryagin Maximum Principle (PMP) with control and state constraints. Simulations supporting the results are provided and compared with those of the open-source academic optimal control solver Falcon.m.

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受扰动的非线性地面车辆的时间最优控制
自主智能体在平面上移动的问题,如空中无人机或小型海军舰艇,可以被视为一系列点之间的导航。虽然在名义上,每对点之间的运动可以被视为连接两点的向量上运动的一维投影,但在存在干扰的情况下,必须考虑平面上的整个问题。时间最优解现在取决于扰动的值和方向,本文假定扰动为介质(分别为风或电流)的恒定惯性速度。我们解决了在规范状态(惯性船舶速度)和规范控制(加速度)约束下,具有二次阻力的二维平面上运动的最小时间问题。利用具有控制约束和状态约束的庞特里亚金极大值原理(PMP),找到并分析了最优解的结构和性质。给出了支持结果的仿真,并与开源学术最优控制求解器Falcon.m的仿真结果进行了比较。
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来源期刊
IFAC Journal of Systems and Control
IFAC Journal of Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
3.70
自引率
5.30%
发文量
17
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