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http://dx.doi.org/10.21289/KSIC.2021.24.6.645

A Study on Fuzzy Logic Based Intelligent Control of Robot System to Improve the Work Efficiency for Smart Factory  

Kim, Hee-Jin (Dept.of Mechanical Couvergence Engineering, Graduate School, Kyungnam University)
Kim, Dong-Ho (Dept.of Mechanical Couvergence Engineering, Graduate School, Kyungnam University)
Han, Sung-Hyun (School of Mechanical Engineering, Kyungnam University)
Publication Information
Journal of the Korean Society of Industry Convergence / v.24, no.6_1, 2021 , pp. 645-658 More about this Journal
Abstract
In this paper, we propose a new approach to intelligent control based on fuzzy logic for work efficiency improvement of smart factory by the applicaion of ariticulated robot. The intelligent control that is applied to the working process by the joint of robotic manipulator is the main focus to improve a work efficiency for implimentation of smart factory in general manufacturing process. In this study, we propose a new method of a fuzzy model and then develop a nonlinear relationship between interaction forces and manipulator position using a fuzzy model. The reliability of the proposed control method is illustrated by simulation and experiments.
Keywords
Intelligent Control; Work Efficiency Improvement; Implimentation of Smart Factory; Ariticulated Robot;
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