Cooperative transportation control in consideration of not only internal force but also external force applied to “MRWheel”

Koshi Kashiwazaki, K. Kosuge, Y. Hirata, Y. Sugahara, T. Kanbayashi, Koki Suzuki, K. Murakami, Kenichi Nakamura
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Abstract

This paper proposes a new cooperative transportation control algorithm in consideration of not only the internal force but the external force applied to “Mobile Robot for a Wheel (MRWheel)”. First, we describe the merits and demerits of the model-based external force compensation method proposed in our previous study and explain the necessity of this new control algorithm. Secondly, we explain this new control algorithm mathematically. In this new algorithm, each follower receives the motion errors estimated by the other followers with TCP/IP, which enables each follower to estimate its motion error by using the force applied to it. Moreover, this new algorithm also enables “intelligent Cooperative Autonomous Robot Transporters-type II (iCART II)” to transport many types of cars at a variety of places without the preliminary car transportation needed for identifying the model parameters of the external force. Finally, we conduct the transportation experiments of two types of cars for the comparison between this new algorithm and the conventional algorithm with the modelbased external force compensation method. These experimental results illustrate the validity of this new control algorithm.
考虑“MRWheel”内力和外力的协同运输控制
针对“轮式移动机器人(MRWheel)”,提出了一种既考虑内力又考虑外力的协同运输控制算法。首先,我们描述了在我们之前的研究中提出的基于模型的外力补偿方法的优缺点,并解释了这种新的控制算法的必要性。其次,我们用数学方法解释了这种新的控制算法。该算法利用TCP/IP协议接收其他follower估计的运动误差,使每个follower能够利用施加在自己身上的力来估计自己的运动误差。此外,该新算法还使“智能合作自主机器人运输II型(iCART II)”能够在多种地点运输多种类型的汽车,而无需进行识别外力模型参数所需的初步汽车运输。最后,通过两种类型的汽车的运输实验,将该算法与基于模型的外力补偿方法的传统算法进行比较。实验结果表明了该控制算法的有效性。
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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