Individual pitch controller based on fuzzy logic control for wind turbine load mitigation

Han, Bing; Zhou, Lawu; Yang, Fan; Xiang, Zeng

doi:10.1049/iet-rpg.2015.0320

Cited by 63 publications

(47 citation statements)

References 25 publications

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“…PI (with Gain scheduling) Collective pitch Robust and simple to design [41] Linear Quadratic Gaussian Individual pitch Multi-variable control, Kalman filter is used to estimate system states [26] Fuzzy logic Individual pitch Cover a wider range of operating conditions, cheaper to develop [24] Model predictive control Individual pitch Multi-processing input and output data in real time, ability to anticipate [36] Neural Network Individual pitch Learning ability in order to model nonlinear and complex system [25,42] Gaussian quadratic linear control methods seem to offer an optimal solution. In addition, this type of methods offers a good level of robustness in the case of nonlinear or multi-variable systems.…”

Section: Control Methods Strategies Description Referencesmentioning

confidence: 99%

“…Because collective control of blade attack angles is not adapted to local wind variations and the "tower clearance" effect [23], individual pitch control is proposed in the literature for fixed OWT. In [24,25], FL and NN control is combined with individual pitch control. These methods allow improving the management of power fluctuations, aerodynamic loads, local wind variations, rotor speed and generator torque fluctuations.…”

Section: Individual Pitch Bladementioning

confidence: 99%

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Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

et al. 2019

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The offshore wind resource has huge energy potential. However, wind turbine floating structures have to withstand harsh conditions. Strong wind and wave effects combine to generate vibrations, fatigue, and heavy loads on the structure and other elements of the wind turbine. These structural problems increase maintenance requirements and risk of failure, while reducing availability and energy production. Another challenge for wind energy is to reduce production costs in order to be competitive with other alternatives. From the control point of view, the objective of lowering costs can be achieved by operating the turbine close to its optimum point of operation under partial load, guaranteeing reliability by reducing structural loads and regulating the power generated in strong wind regimes. In this typical and challenging context, this paper proposes a critical state-of-the-art review, discussing challenges and trends on floating offshore wind turbines control.

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Section: Control Methods Strategies Description Referencesmentioning

confidence: 99%

Section: Individual Pitch Bladementioning

confidence: 99%

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

et al. 2019

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“…The load parameters and its abbreviations are listed in Table 1. Some other load parameters like the blade edge-wise and flap-wise moments are adopted in [28,29], but these parameters are just the mapping of bending moments under the rotating coordinate system into the non-rotating coordinate system and are basically the same. The load parameters considered in this paper are all based on the coordinate system that rotates with the rotor or the drive shaft.…”

Section: Time Domain Evaluationmentioning

confidence: 99%

Coordinated pitch & torque control of large-scale wind turbine based on Pareto efficiency analysis

Lin

Chen

et al. 2018

Energy

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For the existing pitch and torque control of the wind turbine generator system (WTGS), further development on coordinated control is necessary to improve effectiveness for practical applications. In this paper, the WTGS is modeled as a coupling combination of two subsystems: the generator torque control subsystem and blade pitch control subsystem. Then, the pole positions in each control subsystem are adjusted coordinately to evaluate the controller participation and used as the objective of optimization. A two-level parameters-controllers coordinated optimization scheme is proposed and applied to optimize the controller coordination based on the Pareto optimization theory. Three solutions are obtained through optimization, which includes the optimal torque solution, optimal power solution, and satisfactory solution. Detailed comparisons evaluate the performance of the three selected solutions and provide the optimized controller coordination suggestions according to different requirements.

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“…The accurate system model is required to be known in the FLC design [20]. To make up these drawbacks of the FLC, robust control [21][22][23], fuzzy logic control [10,24,25], sliding mode control [26,27], and neural network control [28], have been proposed. Recently, control methods based on observers have been successfully used to reinforce the robustness of disturbances and model uncertainties in power system [29], permanent magnet-synchronous motor [30,31], photovoltaics inverters [32] and WT [33].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Pitch Control of Variable-Pitch PMSG Based Wind Turbine

et al. 2019

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This paper presents an adaptive pitch-angle control approach for a permanent magnet-synchronous generator-based wind turbine (PMSG-WT) connecting with a power grid to limit extracted power above the rated wind speed. In the proposed control approach, a designed perturbation observer is employed for estimating and compensating unknown parameter uncertainties, system nonlinearities, and unknown disturbances. The proposed control approach does not require full state measurements or the accurate system model. Simulation tests verify the effectiveness of the proposed control approach. The simulation results demonstrate that compared with the feedback linearizing controller, conventional vector controller with proportional-integral (PI) loops, and PI controller with gain scheduling, the proposed control approach can always maintain the extracted wind power around rated power, and has higher performance and robustness against disturbance and parameter uncertainties.

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Individual pitch controller based on fuzzy logic control for wind turbine load mitigation

Cited by 63 publications

References 25 publications

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

Coordinated pitch & torque control of large-scale wind turbine based on Pareto efficiency analysis

Adaptive Pitch Control of Variable-Pitch PMSG Based Wind Turbine

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