Dynamic Control of the Brushless Doubly Fed Induction Generator Under Unbalanced Operation

Shao, Shiyi; Li, Teng; Abdi, Ehsan; McMahon, R.A.

doi:10.1109/tie.2012.2211313

Cited by 88 publications

(62 citation statements)

References 29 publications

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“…And the motion equation of BDFM is: (4) In the DTC system, the static coordinate system model is commonly used. Therefore, all the variables of BDFM must be transformed from the rotor coordinate system to the CM static coordinate system.…”

Section: Brushless Doubly Fed Machine (Bdfm) Modelmentioning

confidence: 99%

“…The brushless doubly fed machine (BDFM) retains the advantage of a low-cost inverter, but does not need a brush gear and slip ring, achieving low maintenance costs and a high reliability. The BDFM has the attractive feature of becoming the next generation of wind generators, so research on the BDFM has great practical significance [4][5][6]. However, the BDFM is a system with multi variable, strong coupling and complex nonlinearity, which raises difficulties for BDFM's high performance controlling.…”

Section: Introductionmentioning

confidence: 99%

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Flux-Angle-Difference Feedback Control for the Brushless Doubly Fed Machine

2018

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Abstract:In direct torque control (DTC) of the brushless doubly fed machine (BDFM) system, the inverter switching voltage vectors cannot always meet the control requirements, and the torque will lose control. For the losing control problem, this paper presents a solution of indirectly controlling torque by controlling the angle difference between the power motor (PM) stator flux and the control motor (CM) stator flux (called as the flux-angle-difference). Firstly, based on the CM static coordinate system BDFM model, the derivative equations of CM stator flux amplitude, the torque, and the flux-angle-difference are deduced. The losing control problem of BDFM's DTC is studied by utilizing the CM stator flux amplitude and the torque derivatives. From the flux-angle-difference derivative, it is found that the phase angles of the flux-angle-difference derivative curves remain unchanged. Based on this property, by replacing the torque hysteresis comparator of conventional DTC with a flux-angle-difference hysteresis comparator, a modified control strategy called flux-angle-difference feedback control (FADFC) is proposed to solve the losing control problem. Finally, the validity and the good dynamic characteristic of the FADFC strategy are verified by simulation results.

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Section: Brushless Doubly Fed Machine (Bdfm) Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flux-Angle-Difference Feedback Control for the Brushless Doubly Fed Machine

2018

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“…Three different turbines were tested with fairly similar results, therefore it was possible to discard the suggestion that the differences were due to damage. The phase unbalance is challenging when using active rectification because second order harmonics are produced in the DC link and this is reflected back in the machine in the form of triplen harmonics in the phase currents [16], [17]. These harmonics not only increase the losses in the generator but also compromise the stability of the controllers; especially because the dq variables, which are expected to be DC, have significant harmonic content.…”

Section: Sensorless Speed Controller a Unbalanced Phases In The Gmentioning

confidence: 99%

“…5) Further considerations: As already stated, the Rutland generator is an unbalanced machine and some modifications in the control scheme were required to address this problem. The authors in [16], [17] considered an inverter tied to an unbalanced grid. They addressed the unbalance in the system by using notch filters centred at the grid frequency (50 Hz).…”

Section: B Control Schemementioning

confidence: 99%

Control Techniques With System Efficiency Comparison for Microwind Turbines

Llano

McMahon

2017

IEEE Trans. Sustain. Energy

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“…But new research is still in need on the excellent DTC strategy, which can eliminate the ripples completely and maintain the advantage of low dependence on parameters and model. The vector control for BDFM [2][3] strongly depends on the model and parameters of the object. A simple, high performance decoupling control method is in urgent need.…”

Section: Introductionmentioning

confidence: 99%

Extended State Observer (ESO) Based Control Strategy with Parameter Optimization for Brushless Doubly-fed Machine

Guo¹,

Zhang²

2017

Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)

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Abstract-This work is concerned with an extended state observer (ESO) based controller with parameter optimization for brushless doubly-fed machine (BDFM). An ESO based controller is proposed to deal with the complex inner coupling effect and external disturbance, which are hardly obtained in the practice. To reduce the workload of the parameters selection, an optimized parameter design method for the nonlinear ESO is proposed. Simulation results show that the proposed controller, which brings out an excellent performance and increases the robustness of the system, rejects the disturbances successfully and achieves the decoupling control of the system.

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Dynamic Control of the Brushless Doubly Fed Induction Generator Under Unbalanced Operation

Cited by 88 publications

References 29 publications

Flux-Angle-Difference Feedback Control for the Brushless Doubly Fed Machine

Flux-Angle-Difference Feedback Control for the Brushless Doubly Fed Machine

Control Techniques With System Efficiency Comparison for Microwind Turbines

Extended State Observer (ESO) Based Control Strategy with Parameter Optimization for Brushless Doubly-fed Machine

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