REDUCED-ORDER PARAMETER-ESTIMATION FOR CONTINUOUS SYSTEMS FROM SAMPLED DATA

被引：23

作者：

LIAW, CM ^{[1
]}

OUYANG, M ^{[1
]}

PAN, CT ^{[1
]}

机构：

[1] NATL TSING HUA UNIV,DEPT NUCL ENGN,HSINCHU 30043,TAIWAN

来源：

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 1990年 / 112卷 / 02期

关键词：

D O I：

10.1115/1.2896140

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An indirect method for estimating the parameters of the reduced continuous-time model from the sampled input/output data is presented. In this method, a discrete-time ARMA model is first identified. Then, the order of the continuoustime model is minimized by the dispersion analysis and/or accumulated dispersion analysis with the criterion of minimum discrepancy in sense of energy contribution between the original system and the reduced model. Finally, the reduced continuous-time model is matched to the identified discrete ARMA model in frequency domain. The proposed approach is applied to the identification of a power system stabilizer. The results show that the estimated continuous-time models are rather close to those supplied by the vender. © 1990 by ASME.

引用

页码：305 / 308

页数：4

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