Open AccessExtended Kalman Filter for Sensorless Fault Tolerant Control of PMSM with Stator Resistance Estimation
Author(s) -
Mongi Moujahed,
Bilel Touaiti,
Hechmi Benazza,
Mohamed Jemli,
Mohamed Boussak
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i2.pp579-590
Subject(s) - control theory (sociology) , stator , extended kalman filter , fault tolerance , kalman filter , computer science , inverter , fault (geology) , filter (signal processing) , fault detection and isolation , converters , vector control , power (physics) , control (management) , engineering , induction motor , voltage , actuator , physics , biology , artificial intelligence , mechanical engineering , paleontology , distributed computing , electrical engineering , computer vision , quantum mechanics
This paper aims to provide a high performance sensorless control based on an Extended Kalman Filter (EKF) applied to fault-tolerant PMSM drive system with stator-resistance estimation. It proposes a fast method of fault switches detection in the power converters. The considered drive is composed of three phases PMSM and a four leg three phase’s inverter when the fourth is the redundant leg. After a short-switch fault occurrence, the redundant leg replaces the faulty leg. The simulation results verify that the proposed control method and the fault tolerant inverter ensure the high reliability and continuously operation of the sensorless vector control PMSM system under inverter fault.