Collision avoidance control of multiple UAVs using collision cones and control barrier functions

IF 0.8 Q4 ROBOTICS
Thiviyathinesvaran Palani, Supuni Wijesundera, Hiroaki Fukushima
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引用次数: 0

Abstract

This paper focuses on the collision avoidance of multiple UAVs using collision cones (CCs) and control barrier functions (CBFs). Each UAV is separately controlled toward a given goal while avoiding collision with other UAVs, which are considered moving obstacles. We first propose a new collision avoidance control method based on CCs and CBFs without numerical optimization. This method significantly lowers computational costs compared to existing optimization-based approaches. In addition, we propose a new optimization-based method using CCs and CBFs. A key feature of the proposed method is that the desired control input used in numerical optimization is modified based on CCs and CBFs, in contrast to existing methods that use a desired control input designed without considering obstacles. We evaluate and compare the effectiveness of the proposed methods through extensive simulations. Experimental results using real quadrotors are also shown.

基于碰撞锥和控制障碍函数的多无人机避碰控制
本文主要研究了基于碰撞锥和控制障碍函数的多无人机避碰问题。每架无人机都被单独控制朝着给定目标前进,同时避免与其他被认为是移动障碍物的无人机发生碰撞。首先提出了一种新的基于cc和cbf的避碰控制方法。与现有的基于优化的方法相比,该方法显著降低了计算成本。此外,我们提出了一种新的基于优化的方法,使用cc和cbf。该方法的一个关键特征是,在数值优化中使用的期望控制输入是基于cc和cbf进行修改的,而不是使用不考虑障碍的期望控制输入的现有方法。我们通过大量的模拟来评估和比较所提出方法的有效性。并给出了实际四旋翼机的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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