Determination of Steady-State and Dynamic Control Laws of Doubly Fed Induction Generator Using Natural and Power Variables

Balogun, Adeola; Ojo, Olorunfemi; Okafor, Frank; Karugaba, Sosthenes

doi:10.1109/tia.2013.2253532

Cited by 12 publications

(4 citation statements)

References 23 publications

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“…The control properties of MMB are significantly better than FOC because of elimination model nonlinearities and cross-coupling between torque and flux regulation [15,50]. That control idea is also known as natural variable model which is described in [31]…”

Section: Control Systemmentioning

confidence: 99%

“…The only possibility for sensorless drive (no sensors used on the filter output) is that the observer feedback has to be a difference between the measured and estimated inverter output current -eq. (26), (28) and (31). Further details on initial observer system theory, tuning and stability, were presented without the LC filter in [33] and with the filter in [9], whereas for the complex observer (e.g.…”

Section: Observer Systemmentioning

confidence: 99%

See 1 more Smart Citation

Speed Sensorless AC Drive with Inverter LC Filter and Fault Detection Using Load Torque Signal

Guziński

Abu‐Rub

Strankowski

2017

ELECTROTECHNICAL REVIEW

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z rozwojem przemysłu nieustannie rośnie popularność silników indukcyjnych z uwagi na niskie koszty i dużą niezawodność. Aby spełnić takie wymagania przemysłu, prowadzi się intensywne badania w tej dziedzinie. Tej tendencji podporządkowuję się niniejszy artykuł, w którym pokazano rozwiązanie układu napędowego z silnikiem indukcyjnym, umożliwiające równoczesną detekcję uszkodzeń bez stosowania dodatkowych czujników, poza czujnikami standardowo stosowanymi w falownikach. Aby zrealizować taki układ napędowy z diagnostyką w czasie rzeczywistym zastosowano rozwiązanie z obserwatorem stanu do obliczania i analizy momentu elektromagnetycznego silnika. Zaproponowane rozwiązanie zastosowano do układu napędowego z filtrem sinusoidalnym, którego celem jest poprawa współczynnika THD napięcia zasilania silnika. Ponieważ filtr sinusoidalny komplikuje strukturę obserwatora stanu zastosowano rozszerzoną strukturę estymatora momentu silnika. Aby zbadać zaproponowane rozwiązanie wprowadzono sztuczne uszkodzenie polegające na niewyważeniu wirnika. Wyniki działania estymatora momentu porównano z wynikami pomiarów drgań przeprowadzonych przy użyciu akcelerometru. Układ napędowy z silnikiem indukcyjnym, umożliwiający równoczesną detekcję uszkodzeń bez stosowania dodatkowych czujników.

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Section: Control Systemmentioning

confidence: 99%

Section: Observer Systemmentioning

confidence: 99%

Speed Sensorless AC Drive with Inverter LC Filter and Fault Detection Using Load Torque Signal

Guziński

Abu‐Rub

Strankowski

2017

ELECTROTECHNICAL REVIEW

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“…The generalized equation of DFIG Using a D-Q theory in synchronous reference frame are given as follow [17]; The stator and rotor voltage equations are given below in frequency domain:…”

Section: Steady State Model Of Dfigmentioning

confidence: 99%

Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator

Elsonbaty

Enany

Diab

2015

ERJ. Engineering Research Journal

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The paper presents a new technique for the steady state performance analysis of the DFIG using Adaptive Neuro-Fuzzy Inference System (ANFIS). First, a mathematical model of DFIG in an appropriate d-q reference frame is established. The effect of the excitation voltage vector on the performance characteristics is illustrated to investigate simulations. A novel approach for the performance analysis of DFIG using ANFIS is employed for fast, accurate, and efficient methodology. The proposed ANFIS model has been trained off-line to predict the effect of excitation voltage magnitude, excitation voltage angle and speed on total output power of DFIG without overheating. The performance of the proposed scheme is investigated at different operating conditions. The simulation study indicates accuracy and effectiveness of the ANFIS based modeling of DFIG.

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“…The paper [17] has addressed the DFIG model with the iron loss in order to mitigate losses inside the generator. To improve the theoretical prediction of the system in some cases both iron loss and magnetic saturation has been considered [18]. To achieve the decoupled control for real and reactive powers in this system [19], the stator field-oriented reference frame (dq) model was used, where the flux linkage of the stator is aligned along the direct axis component.…”

Section: Introductionmentioning

confidence: 99%

Candid inquest on modeling methods of doubly fed induction generator, and corroboration through simulation study

Gayathri¹,

Jeevananthan²

2018

MMC_A

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The doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is the ubiquitous system than its counterpart, the squirrel cage induction generator (SCIG), because of its attractive features such as the variable speed operation capability, the low operating noise, the mechanical stress mitigation, the flexible control over active and reactive power flows etc. Simulation studies on nascent WECSs necessitate the accurate and the restitution readied (for non-idealities) models of DFIG as inexact models will make past grave denouements in the stake. Generally, the modeling of electromagnetic machines can be realized as a differential equation (linear/non-linear) or a transfer function (Z/S domains) or in the state space form. Amid the host of DFIG models archived hitherto, there is neither a perennial nor a pristine model. This paper attempts to rekindle existing dynamic models of DFIG to assert the nuance in them, which will succor in culling the apposite model for nascent inquests, unequivocally. The tenet of each model is analyzed through mathematical equations and a comprehensive MATLAB 13 (Simulink-ode 23tb-solver) based simulation study. Comparison is on the basis of electromagnetic torque, rotor speed, rotor currents, real and reactive powers on stator and rotor side, etc.

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Determination of Steady-State and Dynamic Control Laws of Doubly Fed Induction Generator Using Natural and Power Variables

Cited by 12 publications

References 23 publications

Speed Sensorless AC Drive with Inverter LC Filter and Fault Detection Using Load Torque Signal

Speed Sensorless AC Drive with Inverter LC Filter and Fault Detection Using Load Torque Signal

Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator

Candid inquest on modeling methods of doubly fed induction generator, and corroboration through simulation study

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