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.

引用

页码：720 / 723

页数：4

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