Nonlinear control of a permanent magnet synchronous generator in wind energy conversion system with maximum power extraction

Kchaou, Amel; Naamane, Aziz; Koubaa, Yassine; M'Sirdi, Kouider

doi:10.1109/sta.2017.8314911

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…The coefficient is an incredibly nonlinear quantity. Additionally, it is not measurable in existing windmill control systems, and therefore there are numerous attempts at mathematically estimating this quantity, which are similar in structure but have nuanced differences [10,20,21,28,36,37].…”

Section: System Modelmentioning

confidence: 99%

“…are used. Finally, substituting (20) into (19) yields the closed-loop dynamics for the q-axis as 3 4 .…”

Section: Current Error Dynamicsmentioning

confidence: 99%

“…Transitioning away from linear strategies, improvements have been made by utilizing nonlinear schemes such as the sliding-mode control [20][21][22], which targets the issue of parameter uncertainties. Sliding mode controllers manage uncertainties through variable structure control and use a model-based approach to improve dynamic response times, oftentimes utilizing backstepping techniques [23].…”

Section: Introductionmentioning

confidence: 99%

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A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins

McIntyre

2021

Energies

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In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.

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Section: System Modelmentioning

confidence: 99%

“…are used. Finally, substituting (20) into (19) yields the closed-loop dynamics for the q-axis as 3 4 .…”

Section: Current Error Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins

McIntyre

2021

Energies

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“…where ω m indicates the mechanical rotor speed, which equals to generator rotor speed ω R when both of them is given in per unit. The coefficient values of C 1 to C 6 are indicated in Appendix A. Equations (3) to (6) shows that C p is based on the rotor speed only. Consequently, the C p changes with regard to the turbine speed at β = 0.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

“…enhanced the maximal power at various wind speeds. 2,3 The generators used in VS-WECS are synchronous generators with full-scale converters [4][5][6] and doubly fed induction generators (DFIGs). [7][8][9] For extraction high-power from wind turbines, higher energy conversion efficiency from the VS-WECS and inexpensive of power electronic converter relatively, 7 the DFIG has been implemented.…”

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confidence: 99%

Variable step size PO MPPT algorithm using model reference adaptive control for optimal power extraction

Ali

Youssef

Ali

et al. 2019

Int Trans Electr Energ Syst

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Summary To eliminate problems of traditional perturb and observe (TPO) maximum power point tracking (MPPT) relying on large scale variable speed wind energy conversion system (VS‐WECS), this paper suggests a variable step size perturb and observe (VS‐PO) MPPT algorithm. The VS‐PO technique is performed to split the power‐speed (P‐ω) curve with four segments every with a particular step size. A large step size is chosen for the two segments distant from the MPP. Otherwise, a smaller step size can be implemented. The proposed algorithm can achieve the maximum power without large oscillations and reduce the settling time under different wind speed conditions, which means high tracking efficiency. Moreover, the model reference adaptive control (MRC) is applied instead of a PI controller to regulate the rotor speed, which maximizes the extracted power. Also, the MRC successful for reducing the large oscillation and settling time compared with the PI controller. The suggested control technique is tested over a 1.5 MW DFIG WECS by MATLAB/Simulink software.

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