基于分散非线性模型预测控制的运动目标动态包围

Anthony J. Marasco, S. Givigi, C. Rabbath, A. Beaulieu
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引用次数: 23

摘要

动态包围是一种战术,可以由一组无人机通过限制其运动来中和目标,或提供对目标的持续监视。编队中无人机的目的是移动到靠近目标的位置,并在目标周围建立移动编队。本文研究了在运动目标周围形成动态圆形编队的问题,提出了一种分散模型预测控制策略。根据理论结果,推导了稳定控制策略,并通过仿真结果对策略进行了验证。此外,我们还研究了无人机之间的通信和使用模型目标对无人机性能的影响。本文的贡献是将动态包围战术推广到一群无人机和一个运动目标的情况下,考虑了目标模型和通信,并将理论稳定性分析应用于该问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic encirclement of a moving target using decentralized nonlinear Model Predictive Control
Dynamic encirclement is a tactic which can be employed by a group of UAVs to neutralize a target by restricting its movement, or provide constant surveillance of a target. The aim of the UAVs in the formation is to move into a position close to the target and establish a moving formation around the target. In this paper, the problem of creating a dynamic circular formation around a moving target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated. Using theoretical results, a stabilizing control policy is derived, and the policy is validated through simulation results. Furthermore, we examine the effects of communications between the UAVs and the use of a model target on the performance of the UAVs. The contributions of this paper are the extension of the dynamic encirclement tactic to the case of a group of UAVs and a moving target, the consideration of a target model and communications, and the application of theoretical stability analysis to the problem.
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