Two current sensor fault detection and isolation schemes for induction motor drives using algebraic estimation approach

Yosra Rkhissi-Kammoun*, Jawhar Ghommam, Moussa Boukhnifer, Faisal Mnif

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

The paper focuses on single and multiple current sensors fault detection and isolation (FDI) for induction motor (IM) drives using only two current sensors. Two model based diagnosis methods are proposed to estimate the current residuals dynamics in the stationary reference frame: The first one is a differential algebraic estimation of fault dynamics and the second one is based on a combination of the Robust Integral Sign of the Error (RISE) observer with the algebraic approach. After detecting the fault occurrence, a logic based decision unit is then built to identify the faulty sensors. The resulting residuals are robust to load torque disturbances. Moreover, the developed fault estimators are simple with a 1-D model, based only on the input–output measurements and their derivatives and do not require a bank of observers. Furthermore, the used residual threshold is well defined and is suitable for the whole operating range. The ability of diagnosing the recovery of a sensor from a fault is also demonstrated. The validity of the developed approaches is analytically proved and a comparative study is carried out between the two FDI schemes.

Original languageEnglish
Pages (from-to)39-62
Number of pages24
JournalMathematics and Computers in Simulation
Volume157
DOIs
Publication statusPublished - Mar 2019
Externally publishedYes

Keywords

  • Current sensor fault detection and isolation
  • Differential algebraic approach
  • Electric vehicle
  • Induction motor
  • RISE observer

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Numerical Analysis
  • Modelling and Simulation
  • Applied Mathematics

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