Comparative Study Between Luenberger Observer and Extended Kalman Filter for Fault-Tolerant Control of Induction Motor Drives

Comparative Study Between Luenberger Observer and Extended Kalman Filter for Fault-Tolerant Control of Induction Motor Drives

Toufik Roubache* Souad Chaouch Mohamed S. Naït-Saïd

Electrical Engineering Dep., Msila 28000, Algeria

LSP-IE, Electrical Engineering Dep., Batna 2 05078, Algeria

Corresponding Author Email:
3 March 2018
22 May 2018
30 June 2018
| Citation



In this paper, a robust active fault tolerant control (AFTC) scheme is proposed for induction motor drives (IMD) via input-output linearization control (IOLC) and nonlinear observer. In order to estimate the states and to reconstruct the faults, two different observers are used; a Luenberger observer (LO) and an extended kalman filter (EKF). Further we introduce feedback linearization strategy by choosing the output function as the rotor speed and flux square. To provide a direct comparison between these FTCs schemes, the performance is evaluated using the control of IMD under failures, variable speed, and variable parameters, finally the obtained results show that the proposed controller with the proposed observers provides a good trajectory tracking, and these schemes are robust with respect to faults, parameter variations, and external load disturbances for induction motor drive system.


active fault tolerant control (AFTC), input-output linearization controls (IOLC), induction motor drives (IMD), luenberger observer (LO), extended kalman filter (EKF), electric vehicle (EV)

1. Introduction
2. Modeling of IM Under Faults and EV Dynamics
3. Input-Output Linearization Controller
4. Sensorless Nonlinear Control of Induction Motor
5. Robust Fault Tolerant Control
6. Simulation Results
7. Conclusions

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