mu-ANALYSIS APPLIED TO SELF-SENSING ACTIVE MAGNETIC BEARINGS

被引：0

作者：

van Vuuren, P. A. ^{[1
]}

van Schoor, G. ^{[1
]}

机构：

[1] North West Univ, Sch Elect Elect & Comp Engn, Private Bag X6001, ZA-2520 Potchefstroom, South Africa

来源：

SAIEE AFRICA RESEARCH JOURNAL | 2011年 / 102卷 / 04期

关键词：

Active magnetic bearings; system identification; self-sensing; mu-analysis;

D O I：

10.23919/SAIEE.2011.8531908

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The stability margin of a two degree-of-freedom self-sensing active magnetic bearing (AMB) is estimated by means of mu-analysis. The specific self-sensing algorithm implemented in this study is the direct current measurement method. Detailed black-box models are developed for the main subsystems in the AMB by means of discrete-time system identification. In order to obtain models for dynamic uncertainty in the various subsystems in the AMB, the identified models are combined to form a closed-loop model for the self-sensing AMB. The response of this closed-loop model is then compared to the original AMB's response and models for the dynamic uncertainty are empirically deduced. Finally, the system's stability margin for the modelled uncertainty is estimated by means of mu-analysis. The results show that mu-analysis is ill-equipped to estimate the stability margin of a nonlinear system.

引用

页码：98 / 106

页数：9

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