Pitch-control for large-scale wind turbines based on feed forward fuzzy-PI

Gao, Feng; Xu, Dehong; Lv, Yuegang

doi:10.1109/wcica.2008.4593277

Cited by 16 publications

(3 citation statements)

References 3 publications

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“…The calculation of C p requires blade element theory and Eq. (43) is an approximate analytical solution [21,22]. The control laws designed in this paper do not assume knowledge of the surface.…”

Section: Modified Regime 2 Controlmentioning

confidence: 99%

Nonlinear Systems Analysis and Control of Variable Speed Wind Turbines for Multiregime Operation

Semrau

Rimkus

Das

2014

Journal of Dynamic Systems, Measurement, and Control

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The key control problems associated with variable speed wind turbines are maximization of extracted energy when operating below the rated wind speed, and power and speed regulation when operating above the rated wind speed. In this paper, we develop a non-linear systems framework to address these problems. The framework is used to visualize and analyze the equilibria of the wind turbine as its operating regimes and controllers change. For both below rated and above rated wind speeds, we adopt nonlinear control-lers, analyze the stability property of the resulting equilibria, and establish the criterion for switching between control regimes. Further, the regions of attraction of the resulting equilibria are determined, and the existence of a common region of attraction, which allows stable switching between operating regimes, is shown. The control input maintains continuity at the point of switching. We next provide a method for blade pitch modulation to control rotor speed at high wind speeds. Through Lyapunov stability analysis, we prove stability of the equilibria in the presence of the two independently functioning torque- and pitch-control feedback loops. Simulation results are presented and the con-troller is compared with existing works from the literature. [DOI: 10.1115/1.4028775]

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Section: Modified Regime 2 Controlmentioning

confidence: 99%

Nonlinear Systems Analysis and Control of Variable Speed Wind Turbines for Multiregime Operation

Semrau

Rimkus

Das

2014

Journal of Dynamic Systems, Measurement, and Control

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“…A fuzzy logic pitch angle controller is used directly in a number of investigations [4][5][6][7][8][9][10][11]. In addition to the direct fuzzy logic control (FLC), fuzzy logic proportional control [1,[12][13][14], hybrid Proportional Integral (PI) fuzzy logic control [15][16][17], hybrid Proportional Integral Derivative (PID) fuzzy logic control [18][19][20][21], fuzzy predictive control [2,3], neuro-fuzzy control [22][23][24], and hybrid fuzzy sliding mode control [25] are also used for regulation at a nominal output power and to counteract fluctuations in power output.…”

Section: Introductionmentioning

confidence: 99%

Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach

2022

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An important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization of a wind turbine are all impacted by this controller. In this study, a 2 MW doubly fed induction generator wind turbine’s blade angle controller design with a novel fuzzy logic controller is tested in a simulated environment. The evolutionary algorithm technique is used to optimize the fuzzy logic controller with three inputs. A genetic algorithm is used to optimize the specified pitch angle controller for a number of coefficients. After the optimization process, the controller’s performance is assessed in terms of power output, overshoot, and steady-state error characteristics.

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“…Recently the use of fuzzy logic-based methods, in control works are growing . F. Gao et al [4] controlled the pitch angle with the projection of a PI-fuzzy controller and in a similar research X. Jian Jun et al [5] studied the variable pitch wind turbines using fuzzy logic. In the present work for controlling the output power for obtaining ideal power curve in the partial load region a fuzzy supervisory is used for gain programing of classic controller.…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Control with Fuzzy Supervisory in the Partial Load Region

Dizaji

Koma

Ghassembaglou

et al. 2012

AMR

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Improvement of the performance of wind turbines as a source of clean energy production depends on the ideal control. In this paper a controller design based on fuzzy logic and for partial load region of wind turbine has been discussed. Here, fuzzy logic is used as a gain scheduler for classical controller. In the structure of the Controller, feedback signal of angular velocity of generator rotor is used to adjust the torque on the generator, while the pitch angle was kept constant on the optimal value. Fuzzy rule-base of supervisory system was derived based on responses of the turbine system to the controller with various gains which lead to track the ideal power curve. Simulation results confirmed the improvement of system response in comparison to the controlling without fuzzy supervisory.

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Pitch-control for large-scale wind turbines based on feed forward fuzzy-PI

Cited by 16 publications

References 3 publications

Nonlinear Systems Analysis and Control of Variable Speed Wind Turbines for Multiregime Operation

Nonlinear Systems Analysis and Control of Variable Speed Wind Turbines for Multiregime Operation

Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach

Wind Turbine Control with Fuzzy Supervisory in the Partial Load Region

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