Persistent Environmental Monitoring with Distributed Online Assignment of Charging Stations

L. Zhiyuan, Shunya Yamashita, Takeshi Hatanaka
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引用次数: 1

Abstract

This paper investigates persistent environmental monitoring of a target area using a drone network. We first design control barrier functions (CBFs) to enforce drones to meet various specifications including battery charging. The combination of coverage control and CBF-based online optimization is shown to achieve persistent monitoring while meeting the specifications. However, the CBF for battery charging enforces each drone to return to a preassigned charging station before battery exhaustion, which may degrade efficiency for the operation. To address the issue, we incorporate a high-level control mechanism for online assignment of charging stations into the persistent coverage control. In order to design the high-level controller, we present a distributed solution to the assignment problem based on so-called alternating direction method of multipliers. The overall system is finally demonstrated through simulation.
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基于分布式充电站在线分配的持续环境监测
本文研究了使用无人机网络对目标区域进行持续环境监测。我们首先设计控制屏障功能(cbf),以强制无人机满足各种规格,包括电池充电。将覆盖控制和基于cbf的在线优化相结合,可以在满足规范的同时实现持续监控。然而,电池充电的CBF强制每架无人机在电池耗尽之前返回到预先指定的充电站,这可能会降低操作效率。为了解决这一问题,我们在持续覆盖控制中加入了充电站在线分配的高级控制机制。为了设计高级控制器,提出了一种基于乘法器交替方向法的分配问题的分布式解决方案。最后通过仿真对整个系统进行了验证。
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