Neural networks in friction compensation, velocity&acceleration measurement and PID design

被引:0
作者
Qiang, S [1 ]
Gao, XZ [1 ]
Zhuang, XY [1 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
来源
IEEE ICIT' 02: 2002 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS I AND II, PROCEEDINGS | 2002年
关键词
neural networks; servo systems; friction compensation; velocity and acceleration measurement; PID controller design; PID parameters tuning;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracking error, improve the robustness for modeling errors, as well as combat with the harmful friction. In this paper, we give an overview on the applications of neural networks in external friction compensation, the velocity and acceleration measurement, and RID parameter design & tuning in the servo motor systems.
引用
收藏
页码:72 / 77
页数:6
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