Zahra Masoumi scite author profile

This paper introduces the Improved Iterated Extended Kalman Filter (IIEKF) for estimating the rotational speed, rotor resistance, and stator resistance of three-phase induction motors (IMs). Two state-space models for estimating the variables are presented. An optimal estimation of rotational speed is obtained by introducing a data fusion approach. The effectiveness of the IIEKF in comparison with the Extended Kalman Filter (EKF), using experimental data and in a wide range of operating conditions, is shown.

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Experimental Parameter Estimation of Induction Motor Based on Transient and Steady-State Responses in Synchronous and Rotor Reference Frames

Masoumi

Moaveni

Khorshidi

et al. 2022

IEEE Trans. Energy Convers.

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Inter-Turn Short Circuit Fault Diagnosis of Synchronous Generator in Field Winding Based on the Eigenvalues of the State Matrix

Masoumi

Moaveni²,

Gazafrodi

et al. 2022

SSRN Journal

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Air-gap eccentricity fault detection, isolation, and estimation for synchronous generators based on eigenvalues analysis

et al. 2022

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Zahra Masoumi

Modifying the ERA and fast ERA to improve operational performance for structural system identification

Introducing Improved Iterated Extended Kalman Filter (IIEKF) to Estimate the Rotor Rotational Speed, Rotor and Stator Resistances of Induction Motors

Experimental Parameter Estimation of Induction Motor Based on Transient and Steady-State Responses in Synchronous and Rotor Reference Frames

Inter-Turn Short Circuit Fault Diagnosis of Synchronous Generator in Field Winding Based on the Eigenvalues of the State Matrix

Air-gap eccentricity fault detection, isolation, and estimation for synchronous generators based on eigenvalues analysis

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