A logistic-tent chaotic mapping Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot

• Published in: Scientific reports Vol. 14; no. 1; pp. 9649 - 15
• Main Authors: Liu, Jian, Deng, Yonghong, Liu, Yulin, Chen, Linlin, Hu, Zhenzhen, Wei, Peiyang, Li, Zhibin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 26.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/988; 639/705/1041; Accuracy; Algorithms; Compensation; Geometric error identification and compensation; Grinding robot; Humanities and Social Sciences; Kinematics; Levenberg–Marquardt; Logistic-tent chaotic mapping; Mapping; multidisciplinary; Positioning accuracy; Science; Science (multidisciplinary); Positioning accuracy; Logistic-tent chaotic mapping; Levenberg–Marquardt; Grinding robot; Geometric error identification and compensation

The precision of workpiece machining is critically influenced by the geometric errors in the kinematics of grind robots, which directly affect their absolute positioning accuracy. To tackle this challenge, this paper introduces a logistic-tent chaotic mapping Levenberg Marquardt algorithm designed t...