Dynamic Performance Optimization of Machine Tool Ball Screw Feed System Based on Comprehensive Indicators

被引:0
|
作者
Yang Y. [1 ,2 ]
Sun Q. [3 ]
Zhu Q. [1 ,2 ]
Chen S. [4 ]
机构
[1] College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou
[2] Key Laboratory for Precision and Efficient Processing Technology, Suzhou University of Science and Technology, Suzhou
[3] College of Mechanical Engineering, Shanghai Dianji University, Shanghai
[4] College of Automation, Nanjing University of Posts and Telecommunications, Nanjing
关键词
Ball screw; Dynamic performance; Feed system; Machine tool; Optimization;
D O I
10.6041/j.issn.1000-1298.2019.09.047
中图分类号
学科分类号
摘要
The theoretical dynamic model of ball screw feeding system was firstly established, and the characteristics of its response transfer function were analyzed. Then the integrated model of ball screw feeding drive system based on digital module simulation was constructed. The optimization method of ball screw feed drive dynamic performance based on the scalable control optimization model was proposed. The scalable dynamic characteristic index evaluation function for comprehensive performance estimation was constructed. The dynamic performance evaluation index function can be established in real time according to the requirement of dynamic performance optimization. Based on the above, with the definition of motion path planning, by the genetic optimization algorithm, the dynamic performance optimization of ball screw feed drive system oriented to scalable comprehensive index evaluation was realized finally. By experimental test and case analysis, the validity of the theoretical dynamic modeling of ball screw feeding system and its analysis conclusion, integrated model of ball screw feeding drive system based on digital module simulation, and also dynamic performance optimization method based on the scalable control optimization model were verified. The method provided a reference for dynamic performance optimization of ball screw feed system. © 2019, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:404 / 412
页数:8
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