Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Égető, Tamás; Farkas, Balázs

doi:10.3311/ppee.12495

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The motor current signature analysis (MCSA) method has some advantages, like its simplicity of current measurement and its base on simple signal processing techniques, such as the Fast Fourier transform (FFT) or similar harmonic calculation procedures [7,8]. The FFT analysis method is used to characterize the different kinds of the short-circuit faults, and it can be applied when the frequency is constant, unlike other algorithms which can be used in a variable speed or in a transient state, like the Wigner Ville Distribution (WVD) and the Wavelet Transform (WT) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM

Maanani

Menacer

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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The purpose of this paper is the inter-turn short circuit fault Modeling and detection for the sensorless input-output linearization control of the permanent magnet synchronous motor (PMSM) based on the Extended Kalman Filter observer (EKF). The fault detection procedures are based through the estimation of the stator resistance variation by the Extended Kalman Filter observer and the Fast Fourier Transformer (FFT) for the stationary state, and the Discrete Wavelet Transform (DWT) analysis of the electrical characteristics of the PMSM, for the non-stationary state. However, the FFT spectral analysis and the DWT is a useful solution to ensure that the variation of the stator resistance estimation is caused by the inter-turn short circuit fault. The effectiveness of the sensorless control and the fault detection techniques are presented in a simulation in MATLAB/Simulink environment.

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Section: Introductionmentioning

confidence: 99%

Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM

Maanani

Menacer

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Figs. [16][17][18][19] show the system response to frequency faults of grid voltage between 8 s and 8.2 s for the controllers (HOSM control and backstepping control).…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…In this context, the purpose of this work is to test two robust control methods under abnormal conditions of the network with no additional hardware. Firstly, the paper presents a dynamic model of DFIG used in wind generator systems, the mathematical model is developed using a field-oriented control technique this technique allows to transform the three components into two orthogonal components which can be considered as vectors [19].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Robust RSC Control of Doubly Fed Induction Generator Based Wind Turbine under Grid Frequency and Voltage Variations

Bahlouli,

Mansouri,

Bouhamida

2023

Period. Polytech. Elec. Eng. Comp. Sci.

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The configuration of a grid-connected doubly fed induction generator (DFIG) for wind energy generation systems consists of direct coupling of the generator stator windings with the grid and partial coupling of the rotor through power converters. This structure makes the system sensitive to the fault grid. Thus, robust control techniques are required to deal with the undesirable transient sequences in the network. In this paper, two robust controllers have integrated to regulate the stator active and reactive power of DFIG based wind turbine. Then, they have been tested and compared to verify their performances when abnormal grid networks have occurred. Firstly, we used high order sliding mode (HOSM) based Super Twisting, which keeps the same conventional sliding mode performances, such as fast dynamic response and redundancy to the extern disturbances, with a simple design and chattering reduction. Secondly, we implement the backstepping control approach which is known for its robustness in transient sequences. A number of simulations have carried out to evaluate the ride-through performance of both control strategies in case of low grid voltage dips and grid frequency variations.

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“…The author of [22] proposes the verification of rotor resistance identification in the field-oriented control-based drive system using the slip ring machine-based test bench. The paper proposes the torque calculations using the current stator and flux to propose the model reference adaptive system for online estimation of rotor resistance (without injection of the signal).…”

mentioning

confidence: 99%

Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

et al. 2020

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This paper presents a new approach method for online rotor and stator resistance estimation of induction motors using artificial neural networks for the sensorless drive. In this method, the rotor resistance is estimated by a feed-forward neural network with the learning rate as a function. The stator resistance is also estimated using the two-layered neural network with learning rate as a function. The speed of the induction motor is also estimated by the neural network. Therefore, the accurate estimation of the rotor and stator resistance improved the quality of the sensorless induction motor drive. The results of simulation and experiment show that the estimated speed tracks the real speed of the induction motor; simultaneously, the error between the estimated rotor and stator resistance using neural network and the normal rotor and stator resistance is very small.

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Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Cited by 3 publications

References 13 publications

Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM

Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM

Comparative Study of Robust RSC Control of Doubly Fed Induction Generator Based Wind Turbine under Grid Frequency and Voltage Variations

Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

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