A Comparative Study of Rotor Flux Estimation in Induction Motor with a Linear Parameter Varying Observer and Kalman Filter

被引：0
|
作者：
Benlalaoui, I. [1 ]
Drid, S. [1 ]
Chrifi-Alaoui, L. [2 ]
Benoudjit, D. [3 ]
Khamari, D. [1 ]
Ouriagli, M. [4 ]
机构：
[1] Univ Batna, Lab LSP IE, Rue Chahid Med El Hadi Boukhlof, Batna 05000, Algeria
[2] Univ Picardie Jules Verne, Dept Genie Elect & Informat Ind, Lab Technol Innovantes LTI, Soissons, France
[3] Univ Constantine 1, Constantine, Algeria
[4] Fac Polydisciplinaire Taza Maroc, LIMAO, Taza, Morocco
来源：
201415TH INTERNATIONAL CONFERENCE ON SCIENCES & TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING (STA'2014) | 2014年
关键词：
component; formatting; style; styling; insert LPV; Induction Motor; LMI; flux-observer; polytopic representation; Hinf synthesis; Kalman Filter;
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：
The paper presents a comparison of performances and characteristics of a Self Scheduled linear parameter varying (LPV) Flux Observer and observation algorithms based on Kalman Filter for induction motor rotor flux estimation, inserted in a field oriented control scheme. The construction of the considered algorithms is described in detail, and the different design issues are explained. For true comparison the same measurements are assumed available to both deterministic and stochastic estimators, and the same controller parameters are used in simulation. The performances of the estimators are compared either in terms of observation errors during transient and steady state operations either in terms of robustness face to variations of motor parameters.
引用
收藏
页码：668 / 672
页数：5
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