Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller

Civelek, Zafer; Lüy, Murat; Çam, Ertuğrul; Barışçı, Necaattin

doi:10.1080/10798587.2015.1095417

Cited by 65 publications

(35 citation statements)

References 13 publications

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“…The pitch actuator restraints the performance of the WPGS based on the wind speeds. [12][13][14][15] In this work, a suitable pitch control strategy is proposed to sustain the pitch angle at an optimal level all through the steady-state operation in order to decrease the action of the pitch actuator. To attain the command signal bc from the FLC, the variant e obtained from the difference between actual power and reference power and their change in time difference (De) obtained are fed as inputs to the fuzzy pitch controller.…”

Section: Proposed Flc-based Pitch Angle Control Systemmentioning

confidence: 99%

“…Though, by analysing the alteration principle of the wind power, it is found that combined pitch and power management controller can regulate the produced wind power by regulating the angular rotational speed of the WT to optimum value. [14][15][16][17][18][19][20] The equilibrium between the power production and power consumption of the load is achieved when the total power generated by WPGS is equal to the total load demand in addition to the power losses. The prediction of the wind speed all around year in particular site area could be easier to estimate the obtainable wind power from the wind farm and that could satisfy the load power constraints.…”

Section: Power Management Using the Proposed Strategymentioning

confidence: 99%

“…Furthermore, pitch angle control system has been proposed to protect the turbine against mechanical failure from high wind gust and to maximize/minimize the power production according to the wind incident on the blades. [13][14][15][16][17] A pitch angle controller adjusts the turbine blades inward or outward to extract wind power according to the flow of wind speed. The action of adjusting the turbine blades sequentially increases or decreases the power production.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automated power management strategy for wind power generation system using pitch angle controller

Sitharthan¹,

Sundarabalan

Devabalaji

et al. 2019

Measurement and Control

142

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In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to develop a fuzzy logic-based pitch angle control and to develop a static transfer switch to make power balance between the wind power generation system and the loads. The power management control system is a progression of logic expressions, designed based on generating power and load power requirement. The outcome of this work targets at an improved power production, active and reactive power compensation and ensures system load constraints. To validate the proposed control strategy, a detailed simulation study is carried out on a 9-MW wind farm simulation simulated in MATLAB/Simulink environment.

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Section: Proposed Flc-based Pitch Angle Control Systemmentioning

confidence: 99%

Section: Power Management Using the Proposed Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated power management strategy for wind power generation system using pitch angle controller

Sitharthan¹,

Sundarabalan

Devabalaji

et al. 2019

Measurement and Control

142

View full text Add to dashboard Cite

show abstract

“…The uncertainties in the wind turbine model cannot be considered under the effect of PID and Fuzzy logic controllers. In [6], the authors dealt with individual pitch control to limit power in high winds, particularly for large turbines. Classical PID algorithms may design good closed-loop controllers for fixed and variable speed turbines, but owing to the large structure and higher flexibility of present day wind turbines, the component loads must be considered upon which the effect of the classical PID controllers may not perform as desired [7].…”

Section: Introductionmentioning

confidence: 99%

Robust controller design for speed regulation of a flexible wind turbine

Ravikumar¹,

Saraswathi²

2019

EAI Endorsed Transactions on Energy Web

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The complexity of large wind turbines increases due to fatigue, aerodynamics, structural flexibility and wind turbulence which lead to uncertainties in the wind turbine model. Hence, a robust controller is necessary to deal with these uncertainties. The uncertainties are represented in the wind turbine model by variations in the elements of the state space matrix comprising of mass, stiffness and damping elements. The generator speed is regulated with changes in the rotor collective blade pitch angle and disturbances in wind speeds. In this paper, we propose to design an H∞ controller which qualifies to regulate the generator speed of an uncertain wind turbine. The proposed H∞ controller demonstrates robust performance and stability on system with ±20% uncertainty. The obtained 14th order H∞ controller is reduced to 7th order by using a balanced truncation model order reduction method. The performances of the designed H∞ controller and the reduced controller are compared.

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“…Bunlar Proportional-Integral-Derivative (PID) kontrol, Fuzzy Logic (FL) kontrol, Fuzzy-PID kontrol ve Yapay Sinir Ağları (YSA) ile kontrol gibi yöntemlerdir [2]- [5]. Bu yöntemlerin üstünlükleri ile ilgili birçok çalışma yapılmıştır [6]. Son zamanlarda, rüzgâr türbinlerinin fiziksel boyutlarının artması, türbinlerdeki mekanik yükleri düşünme gerekliliğini ortaya koymuştur.…”

Section: Introductionunclassified