Adaptive fuzzy design of a rope attitude adjustment system

作     者：WANG Wei-shu MENG Li-fan ZHANG Zhi-dong 王威舒;孟立凡;张志东

作者机构：Science and Technology on Electronic Test & Measurement LaboratoryNorth University of ChinaTaiyuan 030051China 

基　　金：National Natural Science Foundation of China(No.61605177) 

出 版 物：《Journal of Measurement Science and Instrumentation》 (测试科学与仪器（英文版）)

年 卷 期：2019年第10卷第2期

页      码：168-175页

摘      要：The attitude adjustment of rope system faces the challenging due to the difficulty in obtaining accurate three-dimensional(3D)mathematical model and solving by traditional methods.A set of adjustment systems is designed and used to investigate the automatic control for level or preset attitude adjustment of unknown weights and eccentric *** system principle and characteristics are *** 3D model is decomposed into two two-dimensional(2D)subsystems,and an adaptive fuzzy controller based on BP neural network and least squares(LSE)is *** simulation experiment uses MATLAB to train the level-adjustment data for testing algorithm,and a small load is used to verify the effectiveness of the *** experimental results show that precise attitude adjustment can be achieved within the system load range,and the response speed is *** adjustment method provides a fast and effective method for precise adjustment of the load attitude.

主 题 词：attitude adjustment rope system modelling adaptive fuzzy controller BP neural network 

学科分类：08[工学] 0802[工学-机械学] 0835[0835] 080201[080201] 

核心收录：

D　O　I：10.3969/j.issn.1674-8042.2019.02.009

馆 藏 号：203668645...