具有异构控制器和阻尼增益的无人机循环追踪可达集

Souradip De, S. R. Sahoo, P. Wahi
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引用次数: 2

摘要

多智能体系统(如无人驾驶车辆)的循环追踪问题被建模为具有单或双积分器动力学的点质量,在文献中受到了广泛的关注。然而,有非常有限的工作,讨论可达集相对于一个给定的初始配置,这些代理从事追求。本文讨论了一组双积分器智能体的可达集问题。位置共识增益和速度阻尼增益的异质性有助于将可达集扩展到由代理初始位置形成的凸包之外。我们考虑了阻尼增益的非均匀性,这些增益与每辆车的初始速度一起对应于车辆有效初始位置的修改。我们发现整体可达集类似于单积子情况下可达集的并集,其中初始构型由上述有效构型定义。这项工作发现非零初始速度是有用的,因为这推动了设计方法的额外灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reachable Set of Unmanned Aerial Vehicles in Cyclic Pursuit with Heterogeneous Controller and Damping Gains
Cyclic pursuit problems for multi-agent systems like unmanned vehicles modelled as point-masses with singleor double-integrator dynamics, have received a lot of attention in the literature. However, there are very limited works which discuss the reachable set with respect to a given initial configuration for these agents engaged in the pursuit. This work discusses the reachable set for a group of double-integrator agents which rendezvous at a point while engaged in cyclic pursuit. Heterogeneity in both the position consensus gains and velocity damping gains aid in expanding the reachable set beyond the convex hull formed by the initial position of the agents. We accommodate heterogeneity in damping gains which together with the initial velocities of each vehicle correspond to modification in the effective initial position of the vehicles. We find that the overall reachable set is analogous to the union of reachable sets for single-integrator cases, where the initial configuration is defined by the effective configuration mentioned above. This work finds usefulness for nonzero initial velocities as this impels additional flexibility in the design method.
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