NONLINEAR PIEZO-ACTUATOR CONTROL BY LEARNING SELF-TUNING REGULATOR

被引：31
作者：
LI, CJ
BEIGI, HSM
LI, SY
LIANG, JC
机构：
[1] INT BUSINESS MACH, TJ WATSON RES CTR, YORKTOWN HTS, NY 10598 USA
[2] CHANGSHA INST TECHNOL, DEPT PRECIS MACH & INSTRUMENTS, CHANGSHA, HUNAN, PEOPLES R CHINA
来源：
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 1993年 / 115卷 / 04期
关键词：
D O I：
10.1115/1.2899203
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 presents a learning self-tuning (LSTR) regulator which improves the tracking performance of itself while performing repetitive tasks. The controller is a self-tuning regulator based on learning parameter estimation. Experimentally, the controller was used to control the movement of a nonlinear piezoelectric actuator which is a part of the tool positioning system for a diamond turning lathe. Experimental results show that the controller is able to reduce the tracking error through the repetition of the task.
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页码：720 / 723
页数：4
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