Formation flight approach and experiment for multiple quadrotor drones with optical motion capture localization system

Author:

Li Junlong12ORCID,Xi Jianxiang1ORCID,Wang Cheng1,Guo Zichun1,Liu Hao34ORCID,Zheng Yuanshi5ORCID

Affiliation:

1. High‐Tech Institute of Xi'an Xi'an People's Republic of China

2. Department of Physics Lüliang University Lüliang People's Republic of China

3. School of Astronautics Beihang University Beijing People's Republic of China

4. Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies of Ministry of Education Beihang University Beijing People's Republic of China

5. Shaanxi Key Laboratory of Space Solar Power Station System School of Mechano‐Electronic Engineering, Xidian University Xi'an People's Republic of China

Abstract

SummaryThe formation category for multiple quadrotor drones with the distributed formation protocol is addressed. By exploiting an indoor optical motion capture location system, the formation flight experiment for practical multiple quadrotor drones is performed. Firstly, by decoupling the relationship of the outer and inner loop models, the control loop of a quadrotor drone is divided into the outer position and velocity loop and inner attitude loop, and the distributed formation protocol is constructed by outer‐loop states, where the neighboring relationship term and the formation registration term can regulate formation errors and the whole motion trajectory of multiple quadrotor drones, respectively. The self‐feedback mechanism of the quadrotor drone is introduced to regulate the motion trajectory of whole formation. Then, formation achievability criteria for multiple quadrotor drones are proposed, where two control gains are determined in an analytic form, and the whole motion trajectory for multiple quadrotor drones is presented. Finally, a formation achievement algorithm is proposed, where the formation protocol is implemented by the inner‐loop attitude control of each quadrotor drone, and a formation flight experiment is performed to show the effectiveness of theoretical results.

Funder

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3