Performance comparison of two sensorless control methods for standalone doubly-fed induction generator

Bayhan, Sertaç; Abu‐Rub, Haitham

doi:10.1109/epepemc.2014.6980638

Cited by 6 publications

(9 citation statements)

References 10 publications

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“…To do this, the position sensors (resolvers) are placed on the generator shaft. These resolvers have many drawbacks, such as cost rising and space problem, reliability, decrease and high sensibility to electromagnetic perturbations [1,2,[8][9][10]. The emergence of sensorless control techniques appeared to overcome the limitations and the weakness of the mechanical sensors.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies were performed in order to guarantee good performances of the generator. Most of these studies were based on MRAS observers [8][9][10][11][12][13][14][15]. Indeed, three different approaches for the speed estimation based on MRAS observers were studied.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, three different approaches for the speed estimation based on MRAS observers were studied. In [8][9][10][11] the authors have used a model based on the stator flux. Besides, its simplicity, this approach suffers from a problem related to the use of a pure integrator, also it is affected by the variation of the stator resistance.…”

Section: Introductionmentioning

confidence: 99%

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Experimental design of a new fast sensorless control of DFIG in complex domain

Chibah

Menaa

Yazid

et al. 2018

IET Electric Power Applications

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In this study, a new robust sensorless control of doubly-fed induction generator (DFIG) in the complex domain has been investigated. The proposed sensorless control is based on the extended complex Kalman filter (ECKF) and proportionalintegral complex controller. The design of this sensorless control in the complex domain allowed a threefold objective: a decrease in the system's dimension by half, an optimisation in the implementation of the control strategy and a decrease of the CPU computational time. In fact, to obtain the latter, the dimension of the DFIG model involved in this control has been halved, which leads to a reduction in the control's schema. Moreover, all the matrices involved in the ECKF have smaller dimensions than those of the real extended Kalman filter and no matrix inversion is needed because the output of the system is a scalar variable. The proposed sensorless control has been tested experimentally for several operating points, namely: nominal operation, operation under asymmetrical voltage dip and parameter variations. Moreover, the observability of the complex state model has been analysed and the required conditions for the local weak observability have been defined. The experimental results confirm the theoretical study and show a good reliability and a high rotor speed estimation accuracy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental design of a new fast sensorless control of DFIG in complex domain

Chibah

Menaa

Yazid

et al. 2018

IET Electric Power Applications

View full text Add to dashboard Cite

show abstract

“…The mathematical model of the DFIG can be expressed in different reference frames, such as the stationary frame, the rotor frame, or the synchronous frame ﬁxed to either the stator voltage or the stator ﬂux [29–39]. In the derivation of the system modelling, the DFIG is assumed to be unsaturated, and with no core loss.…”

Section: Mathematical Model Of the Systemmentioning

confidence: 99%

“…The sensors introduce noise into the signal processing and lead to the increased size of a drive system with additional cost involvement. These also degrade the mechanical robustness and reduce the system reliability [29]. To address the problems related to the speed sensors, several sensorless speed estimation techniques are reported in the literature [30–39].…”

Section: Introductionmentioning

confidence: 99%