BACKWARD MOTION PLANNING AND CONTROL OF MULTIPLE MOBILE ROBOTS MOVING IN TIGHTLY COUPLED FORMATIONS

Q3 Economics, Econometrics and Finance Applied Computer Science Pub Date : 2021-09-30 DOI:10.35784/acs-2021-21
K. Ramanathan, M. Mohan, Joshuva Arockia Dhanraj
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Abstract

This work addresses the development of a distributed switching control strategy to drive the group of mobile robots in both backward and forward motion in a tightly coupled geometric pattern, as a solution for the deadlock situation that arises while navigating the unknown environment. A generalized closed-loop tracking controller considering the leader referenced model is used for the robots to remain in the formation while navigating the environment. A tracking controller using the simple geometric approach and the Instantaneous Centre of Radius (ICR), to drive the robot in the backward motion during deadlock situation is developed and presented. State-Based Modelling is used to model the behaviors/motion states of the proposed approach in MATLAB/STATEFLOW environment. Simulation studies are carried out to test the performance and error dynamics of the proposed approach combining the formation, navigation, and backward motion of the robots in all geometric patterns of formation, and the results are discussed.
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紧密耦合编队中多移动机器人的逆向运动规划与控制
这项工作解决了分布式切换控制策略的发展,以驱动一组移动机器人在一个紧密耦合的几何模式中向后和向前运动,作为在导航未知环境时出现的死锁情况的解决方案。采用一种考虑leader参考模型的广义闭环跟踪控制器,使机器人在环境中保持队形。提出了一种利用简单几何方法和瞬时半径中心(ICR)来驱动机器人在死锁情况下进行反向运动的跟踪控制器。在MATLAB/STATEFLOW环境下,采用基于状态的建模方法对该方法的行为/运动状态进行建模。通过仿真研究测试了该方法的性能和误差动力学,该方法结合了机器人在所有几何形态下的编队、导航和向后运动,并对结果进行了讨论。
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来源期刊
Applied Computer Science
Applied Computer Science Engineering-Industrial and Manufacturing Engineering
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
8 weeks
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