INTELLIGENT CONTROLLING THE GRIPPING FORCE OF AN OBJECT BY TWO COMPUTER-CONTROLLED COOPERATIVE ROBOTS

Q3 Economics, Econometrics and Finance
Abderrahim Bahani, Elhoussine Ech-Chhibat, H. Samri, Laila AIT MAALEM, Hicham AIT EL ATTAR
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引用次数: 0

Abstract

This paper presents a Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS)-based method for regulating the handling force of a common object. The foundation of this method is the prediction of the inverse dynamics of a cooperative robotic system made up of two 3-DOF robotic manipulators. Considering the no slip in contact between the tool and the object, an object is moved. to create and feed the MANFIS database, the inverse kinematics and dynamic equations of motion for the closed chain of motion for both arms are established in Matlab. Results from a SimMechanic simulation are given to demonstrate how well the suggested ANFIS controller works. Several manipulated object movements covering the shared workspace of the two manipulator arms are used to test the proposed control strategy.
由两个计算机控制的协作机器人智能控制物体的夹持力
本文提出了一种基于多自适应神经模糊推理系统(MANFIS)的通用物体操纵力调节方法。该方法的基础是预测由两个三自由度机器人组成的协作机器人系统的逆动力学。考虑到工具和物体之间的接触没有滑动,物体被移动。为了创建和提供MANFIS数据库,在Matlab中建立了双臂闭合运动链的逆运动学和动力学方程。SimMechanic仿真的结果证明了所提出的ANFIS控制器的工作效果。使用覆盖两个机械臂共享工作空间的几个被操纵对象运动来测试所提出的控制策略。
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
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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