• 한국유체기계학회 논문집
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• 제18권1호
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• pp.59-64
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• 2015

The pitch control system in wind turbines becomes more and more important as the wind turbines are larger in multi-MW size. PI controller has been applied in most pitch controllers and it has been known that gain-scheduling is essential for pitch control of wind turbines. A demo model of 2 MW wind turbine which represents the whole dynamics of wind turbine including dynamic behaviors of blade, tower and rotational shaft is given in the commercial Bladed S/W for real wind turbines. In this paper, some results on step responses of the pitch PI controller and effectiveness of gain-scheduled pitch PI controller are presented through the Bladed S/W for the 2 MW wind turbine.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 추계학술대회 초록집
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• pp.40.1-40.1
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• 2011

This paper presents a pitch controller which can hold output power constant at the rated value. Although wind turbine contains complicated nonlinearities, its behaviour within a certain operating range of a point can be approximated by that of a linear model. By doing so, we can apply rather simple and systematic linear control techniques such as PID and LQR(Linear Quadratic Regulator) to design a linear pitch controller. Because these linear controllers are valid only in a sufficiently small range around an operating point, linearized wind turbine model under the condition of varying wind speed needs a linear pitch controller can achieve the aims of tracking the rated rotor rotational speed. We propose an improved linear pitch controller taking each merit of LQR and PI controller under the condition of varying operating points in this paper.

• 드라이브 ㆍ 컨트롤
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• 제15권1호
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• pp.28-37
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• 2018

When the wind speed rises above the rated wind speed, the produced power of the wind turbines exceeds the rated power. Even more, the excessive power results in the undesirable mechanical load and fatigue. A solution to this problem is pitch control of the wind turbines. This paper presents a systematic design method of a collective pitch controller for the wind turbines using a discrete fuzzy Proportional-Integral (PI) controller. Unlike conventional PI controllers, the fuzzy PI controller has variable gains according to its input variables. Generally, tuning the parameters of fuzzy PI controller is complex due to the presence of too many parameters strongly coupled. In this paper, a systematic method for the fuzzy PI controller is presented. First, we show the fact that the fuzzy PI controller is a superset of the PI controller in the discrete-time domain and the initial parameters of the fuzzy PI controller is selected by using this relationship. Second, for simplicity of the design, we use only four rules to construct nonlinear fuzzy control surface. The tuning parameters of the proposed fuzzy PI controller are also obtained by the aforementioned relationship between the PI controller and the fuzzy PI controller. As a result, unlike the PI controller, the proposed fuzzy PI controller has variable gains which allow the pitch control system to operate in broader operating regions. The effectiveness of the proposed controller is verified with computer simulations using FAST, a NREL's primary computer-aided engineering tool for horizontal axis wind turbines.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.863-871
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• 2013

Control of pitch angle of turbine blades is among the controlling methods in the wind turbines; this measure is taken for managing mechanical power generated by wind turbine in different wind velocities. Taking into account the high significance of the power generated by wind turbine and due to the fact that better performance of pitch angle is followed by better quality of turbine-generated power, it is therefore crucially important to optimize the performance of this controller. In the current paper, a PI controller is primarily used to control the pitch angle, and then another controller is designed and replaces PI controller through applying a new strategy i.e. alternating two ADALINE neural networks. According to simulation results, performance of controlling system improves in terms of response speed, response ripple, and ultimately, steady tracing error. The highly significant feature of the proposed intelligent controller is the considerable stability against variations of wind velocity and system parameters.

• 한국지능시스템학회논문지
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• 제24권4호
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• pp.366-371
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• 2014

본 논문에서는 정격풍속 이상에서 발전량을 일정하게 유지하기 위하여 회전속도의 변화율을 이용한 신경망 피치제어기가 제안되었다. 제안된 신경망 피치제어기는 발전기의 정격 회전속도와 현재 회전속도의 차이를 기본정보로 사용하고 추가적으로 발전기 회전속도의 변화율을 사용하였다. 시뮬레이션은 Matlab/simulink에서 수행되었으며, 시뮬레이션을 통해 제안된 피치제어기를 사용한 풍력발전기는 발전기의 정격 회전속도인 122.9[rad/s]로 잘 유지 되는 것을 확인하였다.

• 대한기계학회논문집A
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• 제40권2호
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• pp.213-220
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• 2016

자기부상 수동형 이송 시스템이란 이송자에 부상, 안내, 추진과 관련된 전원장치가 없어 고청정, 무분진이 요구되는 환경에서 사용 가능한 시스템으로써 대면적 디스플레이 공정산업, 반도체 이송장비 등에 활용가능하다. 이 시스템은 이송 대상물의 안정적 운반을 위하여 이송자의 정밀한 자세 제어가 필요하다. 하지만 이송자의 구조적 특징 및 공극 센서 설치 오차에 의해 이송자의 피치운동이 발생하며 이를 해결하기 위한 제어기 설계가 필요하다. 본 논문에서는 자기부상 수동형 이송 시스템의 이송자 피치 운동을 감소시키는 제어에 목적이 있다. 이를 수행하기 위하여 해석적으로는 PDA 제어 모델과 피치제어를 추가한 제어 모델의 피치 각도를 비교한다. 실험적으로는 제어기 변경이 이송자의 피치 각도 및 부상 정밀도에 미치는 영향을 분석한다. 이러한 제어기 설계 변경이 피치 운동에 미치는 영향을 분석하고 부상 정밀도 향상을 위한 방법을 제시한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 춘계학술대회 논문집
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• pp.831-836
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• 2011

The study described in this paper is aimed to maintain a constant output of wind turbine system via pitch control of wind turbine using Advanced PID(APID) controller. In order to improve dynamic response characteristic in terms of pitch angle and disturbance reject, the APID controller is developed. The structure of the APID is composed with derivative P controller and new type of integral control action. This new improved integral control has concept of error window and weight function concept. The performance of the APID control technique is compared with those of conventional ones via simulation. Simulation results show that the proposed method is effective and enhanced the dynamic performance of the system.

• 한국정밀공학회지
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• 제20권4호
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• pp.84-91
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• 2003

The paper presents a power control algorithm for a full pitch-controlled wind power system. The design of a pitch controller, in general, is performed by linearizing the torque in the vicinity of a operating point assuming the tip speed ratio is constant. For power control, however, the tip speed ratio is no longer a constant. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle. The reference pitch model is used to design a controller without linearizing the non-linear torque model of the blade. The validity of the algorithm is demonstrated with the results produced through sets of simulation.

• 제어로봇시스템학회논문지
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• 제7권2호
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• pp.109-116
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• 2001

The paper presents a speed control algorithm for a full pitch-controlled wind turbine system. Torque of a blade generated by wind energy is a nonlinear function of wind speed, angular velocity, and pitch angle of the blade. The design of the controller, in general, is performed by linearizing the torque in the vicinity of the operating point assuming the angular velocity of the blade is constant. For speed control, however the angular velocity is on longer a constant, so that linearization of the torque in terms of wind speed and pitch angle is impossible. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle, which makes it possible to design a controller without linearizing the nonlinear torque model of the blade. This paper also suggests a method of designing a hydraulic control system for changing the pitch angle of the blade.

• 한국산학기술학회논문지
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• 제15권2호
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• pp.1059-1065
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• 2014

풍력발전시스템은 정격풍속미만에서는 토크를 제어하여 바람의 에너지를 최대로 하고 정격풍속이상에서는 피치를 제어하여 발전량을 정격으로 유지한다. 본 논문에서는 풍력발전시스템의 피치제어를 신경망을 이용하여 제어하는 방안을 제시한다. 피치제어의 목적은 정격풍속 이상에서 발전기의 회전속도를 일정하게 제어하여, 결과적으로 발전기의 출력을 정격전력으로 유지한다. 이 논문에서는 신경망 피치제어기의 성능을 향상시키기 위하여 발전기의 정격회전속도와 현재 회전속도 차이를 풍속과 함께 신경망의 입력으로 사용하는 방법을 제안하였다. 신경망의 훈련 알고리즘은 오류역전파(error back-propagation) 방법이 사용되었고, Matlab/Simulink를 사용하여 제어가 원활하게 되는 것을 확인하였다.