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A distributed Model Predictive Control using Virtual Field Force for multi-ship collision avoidance under COLREGs

机译:使用Colregs下的多船碰撞避免虚拟现场力的分布式模型预测控制

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A multi-ship collision avoidance decision support and path following control formulation is studied in a distributed way. This paper proposes a complete set of solutions for multi-ship collision avoidance in intelligent navigation, by using a top-to-bottom organization to structure the system. The system is designed with two layers: the decision-making layer for path planning and the control layer for path following. Under the general requirements from the International Regulations for Preventing Collisions at Sea (COLREGs), the performance of distributed path planning decision-making for anti-collision is analyzed for both give-way and stand-on ships situations, and the Virtual Field Force method(VFF) is used for the path planning in details. The developed VFF method combined with the model of ship domain takes the target ships' speed and course into account, so that it can judge the moving characteristics of obstacles more accurately. Furthermore, the distributed Model Predictive Control (MPC) method of path following is analyzed, which form the control layer. The MPC method has the advantages of dealing with the under-actuated nonlinear system like the surface vessel. Simulation results indicate that the system proposed can work effectiveness.
机译:以分布式方式研究了多船碰撞避免决策支持和路径。本文提出了一套完整的智能导航避免多船冲突避免的全套解决方案,通过使用顶部到底部组织来构建系统。该系统采用两层设计:用于路径规划的决策层和用于路径的控制层。根据国际预防海上碰撞(Colregs)的一般要求,分析了抗碰撞的分布式路径规划决策的绩效,以便为携带方式和架空船舶情况进行分析,以及虚拟现场力量(VFF)用于详细路径规划。开发的VFF方法与船舶域型相结合,将目标船舶的速度和课程结合在一起,因此它可以更准确地判断障碍物的移动特性。此外,分析了分布式模型预测控制(MPC)的路径方法,其形成控制层。 MPC方法具有处理欠致动的非线性系统的优点,如表面容器。仿真结果表明,该系统建议可以工作有效性。

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