Sensorless Power Control of Doubly-Fed Reluctance Wind Turbine Generators using a Current-based MRAS Estimator

Kashkooli, M. R. Agha; Jovanović, Milutin; Ademi, Sul

doi:10.1109/speedam48782.2020.9161897

Cited by 4 publications

(8 citation statements)

References 24 publications

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“…The simulation in MATLAB/Simulink is proved using the experimental evaluation of a 1.6-kW BDFRM, which shows the drive stability for the studied range of speed. Furthermore, in [122], a new MRAS-based method for sensorless control of a grid-connected wind turbine is introduced. In this method, there is no need for electro-mechanical shaft sensors, which are prone to failures in harsh environments, like those encountered in off-shore wind turbines.…”

Section: Sensorless-based Strategiesmentioning

confidence: 99%

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

et al. 2021

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The Brushless Doubly-Fed Reluctance Machine (BDFRM) has been widely investigated in numerous research studies since it is brushless and cageless and there is no winding on the rotor of this emerging machine. This feature leads to several advantages for this machine in comparison with its induction counterpart, i.e., Brushless Doubly-Fed Induction Machine (BDFIM). Less maintenance, less power losses, and also more reliability are the major advantages of BDFRM compared to BDFIM. The design complexity of its reluctance rotor, as well as flux patterns for indirect connection between the two windings mounted on the stator including power winding and control winding, have restricted the development of this machine technology. In the literature, there is not a comprehensive review of the research studies related to BDFRM. In this paper, the previous research studies are reviewed from different points of view, such as operation, design, control, transient model, dynamic model, power factor, Maximum Power Point Tracking (MPPT), and losses. It is revealed that the BDFRM is still evolving since the theoretical results have shown that this machine operates efficiently if it is well-designed.

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Section: Sensorless-based Strategiesmentioning

confidence: 99%

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

et al. 2021

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“…Although the adaptive model in [25] is dependent on both the secondary winding resistance ( ) and mutual inductance ( ), the sensitivity studies to uncertainties have only been undertaken, but not to variations playing a pivotal role for the convergence of the underlying estimation process. The MRAS observers introduced in [26][27][28] use the measured secondary currents as the reference model outputs, while the corresponding estimates are entirely based on the primary quantities at fixed line-frequency. The integration technique for the primary-flux identification and knowledge of the primary winding resistance and inductances are the main drawbacks of the introduced adaptive models.…”

Section: Introductionmentioning

confidence: 99%

Parameter independent control of doubly-fed reluctance wind generators without a rotor position sensor

Kashkooli¹,

Jovanović²

2022

International Journal of Electrical Power & Energy Systems

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“…The MRAS observer designs in refs. [31,32] bring additional advantages by introducing the measurable secondary currents as the reference model outputs, while the corresponding estimates are entirely based on the primary quantities at fixed line frequency. However, the requirement for the flux identification and resistance (R p ) knowledge of the primary winding is the main drawback of the adaptive models in refs.…”

Section: Introductionmentioning

confidence: 99%

“…However, the requirement for the flux identification and resistance (R p ) knowledge of the primary winding is the main drawback of the adaptive models in refs. [31,32]. Furthermore, the associated results are produced for a small BDFRG prototype with relatively limited industrial interest for wind power applications.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the proposed primary power based adaptive model design overcomes the limitations of the counterparts in refs. [31,32] by avoiding the primary voltage integration issues and the need for R p in flux calculations, hence offering improved accuracy and easier implementation. The small-signal analysis of the parameter mismatches and the excellent controller response are supported by the realistic simulation and experimental studies of a large-scale wind turbine.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless MRAS control of emerging doubly‐fed reluctance wind generators

Kashkooli

Jovanović

2021

IET Renewable Power Gen

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A new model reference adaptive system based estimation technique for vector control of real and reactive power of a brushless doubly fed reluctance generator without a shaft position sensor is proposed. The rotor speed is being precisely observed in a closed‐loop manner by eliminating the error between the measured and estimated inverter‐fed (secondary) winding current angles in a stationary frame. Contrary to the existing model reference adaptive system observer designs reported in the brushless doubly fed reluctance generator literature, the reference model is entirely parameter‐free and only utilises direct measurements of the secondary currents. Furthermore, the current estimates coming from the adaptive model are obtained using the measured voltages and currents of the grid‐connected (primary) winding, which has provided prospects for much higher accuracy and superior overall performance. The realistic simulations, preliminary experimental results, and the accompanying parameter sensitivity studies have shown the great controller potential for typical operating conditions of variable speed wind turbines with maximum power point tracking.

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Sensorless Power Control of Doubly-Fed Reluctance Wind Turbine Generators using a Current-based MRAS Estimator

Cited by 4 publications

References 24 publications

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

Parameter independent control of doubly-fed reluctance wind generators without a rotor position sensor

Sensorless MRAS control of emerging doubly‐fed reluctance wind generators

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