Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control

Li, Shanzhi; Wang, Haoping; Tian, Yu‐Ping; Aitouch, Abdel; Klein, John

doi:10.1016/j.isatra.2016.06.003

Cited by 88 publications

(64 citation statements)

References 29 publications

(27 reference statements)

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“…The objective is that states of the plant y should reach constant behaviors, it is understood as a good regulation of the states. The sliding mode controller of [20][21][22][23] is selected for the comparisons because it is applied to a wind turbine. In the next two subsections, the root mean square error (RMSE) will be used in the comparisons, it is:…”

Section: Resultsmentioning

confidence: 99%

“…The SMC of [20][21][22][23] is employed where initial conditions are y s0 = [0. Table III and the value of the gain in the Matrix A C of (58) the next result is obtained: Table IV shows the RMSE of (59).…”

Section: Wind Turbinementioning

confidence: 99%

“…Mathematical models of the wind turbines are presented in [18] and [19]. In [20][21][22][23], sliding mode controls are studied. Adaptive controls are investigated in [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Control of two Electrical Plants

Rubio¹,

López

Pacheco³

et al. 2017

Asian Journal of Control

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In this paper, a controller is recommended for the regulation of two electrical plants. Since electrical plants generate electricity all the time, the regulation to get that all the plant states reach constant behaviors is important. Two main characteristics of the introduced method are: (i) it is based in the separation of the plant model equations, only some model equations are chosen for the regulation while the other model equations are ignored, it avoids the difficulty in the consideration of the full plant model; (ii) the Lyapunov strategy is employed to analyze the stability of the selected model equations in the electrical plant, it lets to ensure the regulation purpose. The advised method is applied in a gas turbine and a wind turbine for the electricity generation.

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Section: Resultsmentioning

confidence: 99%

Section: Wind Turbinementioning

confidence: 99%

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Control of two Electrical Plants

Rubio¹,

López

Pacheco³

et al. 2017

Asian Journal of Control

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“…As most known parts of F and G in Formula (24) are regarded as uncertainties, control chattering can be serious if the constant speed FOSM or the super-twisting SOSM are directly applied to Formula (24). Therefore, the controller is constructed as two parts.…”

Section: Second-order Sliding Mode Direct Power Controller Designmentioning

confidence: 99%

“…Among all the nonlinear control approaches, sliding mode control, which is used in wind turbine systems, is a robust control method capable of providing finite-time convergence, disturbance suppression, fast response, and simple implementation [20,21]. Some studies have evaluated the direct power sliding mode control for DFIG [22][23][24][25][26][27]. Although good results were achieved, some drawbacks still exist, and positive and negative sequence decomposition is needed [23]; all these studies focused on the conventional first-order sliding mode (FOSM), with unsatisfactory control switching and variable switching frequency.…”

Section: Introductionmentioning

confidence: 99%

Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage

Han

2019

Energies

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In a wind turbine system, a doubly-fed induction generator (DFIG), with nonlinear and high-dimensional dynamics, is generally subjected to unbalanced grid voltage and unknown uncertainty. This paper proposes a novel adaptive-gain second-order sliding mode direct power control (AGSOSM-DPC) strategy for a wind-turbine-driven DFIG, valid for both balanced and unbalanced grid voltage. The AGSOSM-DPC control scheme is presented in detail to restrain rotor voltage chattering and deal with the scenario of unknown uncertainty upper bound. Stator current harmonics and electromagnetic torque ripples can be simultaneously restrained without phase-locked loop (PLL) and phase sequence decomposition using new active power expression. Adaptive control gains are deduced based on the Lyapunov stability method. Comparative simulations under three DPC schemes are executed on a 2-MW DFIG under both balanced and unbalanced grid voltage. The proposed strategy achieved active and reactive power regulation under a two-phase stationary reference frame for both balanced and unbalanced grid voltage. An uncertainty upper bound is not needed in advance, and the sliding mode control chattering is greatly restrained. The simulation results verify the effectiveness, robustness, and superiority of the AGSOSM-DPC strategy.

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