Fault Tolerant Control to Mechanical Sensor Failures for Induction Motor Drive: A Comparative Study of Voting Algorithms

被引：0

作者：

Boukhnifer, Moussa ^{[1
]}

Raisemche, Aziz ^{[1
]}

Diallo, Demba ^{[2
]}

Larouci, Cherif ^{[1
]}

机构：

[1] ESTACA, Lab Commande & Syst, 34 Rue Victor Hugo, F-92300 Levallois Perret, France

[2] Univ Paris Sud, CNRS, Lab Genie Electrique Paris, UMR 8507, F-91192 Gif Sur Yvette, France

来源：

39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013) | 2013年

关键词：

Induction motor; voting algorithm; Kalman Filter; 2nd order sliding mode observer; Fault Tolerant Control;

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：

In this paper, we present a comparative study of four voting algorithms for two Induction Motor drive fault tolerant control to speed sensor failure schemes. In both Output and Input Fault Tolerant controller, the voting algorithm chooses the most appropriate output signal to ensure the best behavior in degraded mode. The performances are evaluated through simulations of a 7.5kW Induction Motor drive with robustness testing against parametric variations, as well as under load testing. The results show that Euler, Newton-Raphson and Maximum Likelihood voting algorithms are more efficient than the Weighted Average in both Fault Tolerant Control schemes.

引用

页码：2851 / 2856

页数：6

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