Research on CGF Formation Maintenance and Obstacle Avoidance

Author:

Wang Siqing,Qiao Yongjun

Abstract

In order to solve the problem of CGF formation avoiding obstacles, avoiding collisions and reach the target point in the simulated battlefield environment, combined with the behaviour-based method, the following algorithm will be improved to control the CGF formation. In this paper, the motion of CGF formation is decomposed into moving to target, maintaining formation, avoiding obstacles, restoring formation, reaching target, and a linear feedback mechanism based on the relative position of leader and follower is introduced to prevent the occurrence of the team. The tangent obstacle avoidance algorithm evades obstacles. The simulation experiment applies the upper-layer behavioural reasoning to guide the structure of the underlying physical model, and the SOAR agent makes the choice of the state of the environment and the behaviour, and the underlying physical model implements the behaviour. The results show that the strategy can keep the CGF formation in the desired formation, avoid internal collisions while avoiding obstacles, and quickly restore the formation after reaching obstacles, reach the target location and achieve good results.

Publisher

EDP Sciences

Subject

General Medicine

Reference17 articles.

1. LAWTON J R, YOUNG B J, BEARD R W. A decentralized approach to elementary formation maneuvers [C] //Proc of IEEE International Conference on Robotics & Automation. Piscataway, NJ: IEEE Press, 2000: 2728-2733.

2. Leader-following consensus protocols for formation control of multi-agent network

3. Behavior-based formation control for multirobot teams

4. Wang G, Li D, Gan W, et al. Study on Formation Control of Multi-Robot Systems[M]. 2013.

5. Oh K K, Park M C, Ahn H S. A survey of multi-agent formation control[M]. Pergamon Press, Inc. 2015.

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