Formation control of marine veihicles via real-time Networked Decentralized MPC

M. Vaccarini, S. Longhi
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引用次数: 17

Abstract

Traditional ocean research and exploration usually require a lot of time, funds and, in general, resources. In the last years, mainly thanks to the GPS technology, unmanned small vehicles have been proposed for marine exploration and investigation. In this paper, a cooperation scheme (either for surface and underwater vehicles) is outlined for a multi-robot framework with a certain mission. The objective is translated into a formation control problem and the coordination is achieved through underwater sonar communication. A real-time implementable formation control strategy based on Networked Decentralized MPC is presented that drive each single vehicle. MPC allows to take into account for constraints, nonlinearities and exchanged information about future behaviours of the single agents. The decentralized strategy makes use of either local and received information for computing the best behaviour that optimises some objective function. A reconfigurable hierarchical structure is assumed for managing the formation. The real-time implementability is achieved using Multiplexed MPC and/or stochastic optimization algorithms for reducing computation times. Simulation results are provided for comparing the presented algorithms.
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基于实时网络分散MPC的船舶编队控制
传统的海洋研究和勘探通常需要大量的时间、资金和资源。在过去的几年里,主要得益于GPS技术,无人驾驶小型车辆被提出用于海洋勘探和调查。针对具有特定任务的多机器人框架,提出了一种水面和水下机器人的协作方案。将目标转化为编队控制问题,通过水下声纳通信实现协调。提出了一种基于网络化分散MPC的实时可实现的编队控制策略。MPC允许考虑约束、非线性和关于单个代理未来行为的交换信息。分散策略利用本地和接收的信息来计算优化某些目标函数的最佳行为。采用可重构的层次结构来管理队形。实时可实现性是通过多路MPC和/或随机优化算法来减少计算时间。仿真结果对所提算法进行了比较。
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