Position error compensation of semi-closed loop servo system using support vector regression and fuzzy PID control

被引：22
|
作者：
Deng, C. [1 ]
Xie, S. Q. [2 ]
Wu, J. [3 ]
Shao, X. Y. [1 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Univ Auckland, Dept Mech Engn, Auckland 1, New Zealand
[3] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2014年 / 71卷 / 5-8期
基金：
中国国家自然科学基金;
关键词：
Semi-closed loop servo system; Position error; Support vector regression; Fuzzy control; MACHINE-TOOLS; MODEL;
D O I：
10.1007/s00170-013-5495-7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses how to improve the position precision of a semi-closed loop servo system. A support vector regression algorithm is chosen to model and predict position error. The predicted error is then fed back to the input entry to compensate the error. Fuzzy PID control is introduced to adjust the controlling rule of the PID controller in the semi-closed loop servo system so as to improve the dynamic response characteristics of the servo system and reach a high degree of position precision. A case study is implemented. The simulation and experimental results show that combining the improved fuzzy control with predicted position error feedback ensures a high degree of position precision and a high degree of dynamic response characteristics.
引用
收藏
页码：887 / 898
页数：12
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