CN201705553U - Intelligent variable propeller pitch control system for megawatt wind generating set - Google Patents

Intelligent variable propeller pitch control system for megawatt wind generating set Download PDF

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Publication number
CN201705553U
CN201705553U CN2010202269062U CN201020226906U CN201705553U CN 201705553 U CN201705553 U CN 201705553U CN 2010202269062 U CN2010202269062 U CN 2010202269062U CN 201020226906 U CN201020226906 U CN 201020226906U CN 201705553 U CN201705553 U CN 201705553U
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China
Prior art keywords
fuzzy
controller
control
plc
signal
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Expired - Fee Related
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CN2010202269062U
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Chinese (zh)
Inventor
谭福阳
姜杨
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SHENYANG RUIXIANG WIND POWER EQUIPMENT CO Ltd
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SHENYANG RUIXIANG WIND POWER EQUIPMENT CO Ltd
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Priority to CN2010202269062U priority Critical patent/CN201705553U/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The utility model relates to a control system, in particular to an intelligent variable propeller pitch control system for a megawatt wind generating set, which structurally comprises a fuzzy controller, a PID controller, a fuzzy switching controller, a PLC and a variable-propeller motor, wherein the fuzzy controller is used for controlling deviation values in a fuzzy manner and transmitting signals to the fuzzy switching controller, the PID controller is used for computing the deviation values and transmitting signals to the fuzzy switching controller, the fuzzy switching controller is used for overlapping the signals outputted by the fuzzy controller and the PID controller and transmitting processed signals to the PLC, the PLC is used for receiving the signals processed by the fuzzy switching controller and controlling the variable-propeller motor, and the variable-propeller motor is used for adjusting propeller pitch angles in real time according to the signals of the PLC. The intelligent variable propeller pitch control system has the advantages of more accurate and reliable control, capability of meeting the requirement of accurate control for the propeller pitch angles and particular suitability for modeling and control of a wind generating system.

Description

MW class wind turbine group intelligent variable-pitch control system
Technical field
The utility model relates to a kind of control system, relates in particular to a kind of MW class wind turbine group intelligent variable-pitch control system.
Background technique
The elementary object of MW class wind turbine group feather control is to obtain ceiling capacity and user's acceptable power quality is provided from wind energy, and because the randomness of wind speed and the influence of aerodynamic effect, pitch-variable system has become multivariable strong nonlinearity uncertain system.Conventional pitch-variable system is controlled by PID and is realized its control purpose, this method at first needs to set up effective system mathematic model, but because the complexity of aerodynamic uncertainty and system model, often set up very difficulty of an accurate system model, and for the complicated like this controlled device of pitch-variable system, then be not easy to very much regulate Control Parameter, be difficult to obtain satisfied control effect.
The model utility content
Provide a kind of MW class wind turbine group intelligent variable-pitch control system for solving the problems of the technologies described above the utility model, purpose is to adjust propeller pitch angle according to change of wind velocity more accurately.
For reaching above-mentioned purpose the utility model MW class wind turbine group intelligent variable-pitch control system, be made of following structure: a fuzzy controller is used for deviate is carried out fuzzy control, and signal is delivered to fuzzy switch controller; A PID controller is used for deviate is carried out computing, and signal is delivered to fuzzy switch controller; A fuzzy switch controller, the signal of fuzzy controller and the PID controller output that is used to superpose and will handle after signal pass to PLC; A PLC is used to receive signal that fuzzy switch controller handles and controls becoming the oar motor; A change oar motor is according to the signal real-time regulated propeller pitch angle of PLC.
MW class wind turbine group intelligent variable-pitch control system also comprises a derivative unit, after being used for deviate differentiated, sends fuzzy controller again to; Fuzzy controller carries out fuzzy control according to error amount and error differential value.
The utility model has the advantages of: because fuzzy control does not need to set up precise math model, having control mechanism and strategy is easy to accept and understand, simplicity of design, use characteristics easily, therefore the fuzzy intelligent controller that both combine is controlled in fuzzy control and PID, control can be satisfied the accurately requirement of control of propeller pitch angle more accurately and reliably, is very suitable for the modeling and the control of wind-power generating system.
Description of drawings
Fig. 1 is a block diagram of the present utility model.
Among the figure: 1, derivative unit; 2, fuzzy controller; 3, PID controller; 4, fuzzy switch controller; 5, PLC; 6, become the oar motor.
Embodiment
The utility model is described in further detail below in conjunction with accompanying drawing.
The utility model MW class wind turbine group intelligent variable-pitch control system as shown in the figure is made of following structure: a fuzzy controller 2 is used for deviate is carried out fuzzy control, and signal is delivered to fuzzy switch controller 4; A PID controller 3 is used for deviate is carried out computing, and signal is delivered to fuzzy switch controller 4; A fuzzy switch controller 4, the signal of be used to superpose fuzzy controller 2 and 3 outputs of PID controller and will handle after signal pass to PLC5; A PLC5 is used to receive signal that fuzzy switch controller 4 handles and controls becoming oar motor 6; A change oar motor 6, according to the signal real-time regulated propeller pitch angle of PLC5, a derivative unit 1 after being used for deviate differentiated, sends fuzzy controller 2 to again; Fuzzy controller 2 carries out fuzzy control according to error amount and error differential value.
The controlling method of MW class wind turbine group intelligent variable-pitch control system is made of following step: when there were deviation in input signal and output signal, e handled to deviate, and the result that will handle sends PLC to; PLC handles the back to the signal that sends corresponding control signal is sent to change oar motor, carries out the control and the adjustment of propeller pitch angle, after deviate e reaches scheduled target, becomes the oar motor and quits work.
Deviate handled comprise the steps: deviate e and enter fuzzy controller 2 jointly to carry out data processing through the deviation differential value ec of derivative unit 1, while deviate e enters PID controller 3 and carries out data processing, by the as a result U of fuzzy switch controller 4 with fuzzy controller 2 processing FuzzyU as a result with 3 processing of PID controller PIDSuperpose, with the result after the stack Be sent to PLC5.
After described change oar motor is adjusted, continue whether having deviate to detect, if deviate is arranged then intelligent controller works on.
The utility model is a kind ofly to switch the contactless switching mode of two kinds of control algorithms by fuzzy rule, and the switching of two kinds of control modes is switched according to fixing fuzzy logic formula according to the size of control deviation e, adopts the mode of weighting to superpose.When there was large deviation in pitch-controlled system, fuzzy control played a major role, and shared weight is bigger, guaranteed the rapidity of control and suppressed overshoot; During little deviation, PID control plays a major role, and shared weight is bigger, to eliminate the systematic steady state error.
The utility model is the compound control intelligent control algorithm of fuzzy segmentation based on fuzzy switching of Integrated Fuzzy Control and pid control algorithm advantage, make system have the robustness of better steady state and wind speed disturbance, adjusted propeller pitch angle stably, the assurance variable-pitch control system is accurately followed the tracks of wind speed variation carrying out reliably working.This scheme has not only overcome pid control algorithm and has been difficult to set up the shortcoming of mathematical models, and has satisfied the control target that ceiling capacity obtained, guaranteed reliable operation and good power generating quality is provided.

Claims (2)

1. MW class wind turbine group intelligent variable-pitch control system, it is characterized in that being made of following structure: a fuzzy controller is used for deviate is carried out fuzzy control, and signal is delivered to fuzzy switch controller; A PID controller is used for deviate is carried out computing, and signal is delivered to fuzzy switch controller; A fuzzy switch controller, the signal of fuzzy controller and the PID controller output that is used to superpose and will handle after signal pass to PLC; A PLC is used to receive signal that fuzzy switch controller handles and controls becoming the oar motor; A change oar motor is according to the signal real-time regulated propeller pitch angle of PLC.
2. MW class wind turbine group intelligent variable-pitch control system according to claim 1 is characterized in that also comprising a derivative unit, after being used for deviate differentiated, sends fuzzy controller again to; Fuzzy controller carries out fuzzy control according to error amount and error differential value.
CN2010202269062U 2010-06-17 2010-06-17 Intelligent variable propeller pitch control system for megawatt wind generating set Expired - Fee Related CN201705553U (en)

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CN2010202269062U CN201705553U (en) 2010-06-17 2010-06-17 Intelligent variable propeller pitch control system for megawatt wind generating set

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Application Number Priority Date Filing Date Title
CN2010202269062U CN201705553U (en) 2010-06-17 2010-06-17 Intelligent variable propeller pitch control system for megawatt wind generating set

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101865079A (en) * 2010-06-17 2010-10-20 沈阳瑞祥风能设备有限公司 Intelligent variable-pitch control system and method for megawatt wind generating set
CN102437810A (en) * 2011-06-17 2012-05-02 南京工程学院 Variable parameter tracking control method of direct drive permanent magnetic synchronous wind turbine frequency converter controller
CN102624315A (en) * 2012-04-11 2012-08-01 上海三一精机有限公司 High-precision permanent magnetic servo motor three-closed-loop control system and method
CN102900604A (en) * 2012-09-19 2013-01-30 河北工业大学 Variable pitch controller design method based on finite time non-crisp stable wind turbine generator set
CN102900603A (en) * 2012-09-19 2013-01-30 河北工业大学 Variable pitch controller design method based on finite time non-crisp/guaranteed-cost stable wind turbine generator set
CN102900606A (en) * 2012-09-19 2013-01-30 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time guaranteed cost stabilization
CN102900613A (en) * 2012-09-19 2013-01-30 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time robustness or guaranteed cost stabilization
CN103912447A (en) * 2014-04-04 2014-07-09 上海电机学院 Attach angle weight coefficient based independent variable pitch control system controlled by fuzzy PID (proportional integral derivative)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101865079A (en) * 2010-06-17 2010-10-20 沈阳瑞祥风能设备有限公司 Intelligent variable-pitch control system and method for megawatt wind generating set
CN102437810A (en) * 2011-06-17 2012-05-02 南京工程学院 Variable parameter tracking control method of direct drive permanent magnetic synchronous wind turbine frequency converter controller
CN102624315A (en) * 2012-04-11 2012-08-01 上海三一精机有限公司 High-precision permanent magnetic servo motor three-closed-loop control system and method
CN102900604A (en) * 2012-09-19 2013-01-30 河北工业大学 Variable pitch controller design method based on finite time non-crisp stable wind turbine generator set
CN102900603A (en) * 2012-09-19 2013-01-30 河北工业大学 Variable pitch controller design method based on finite time non-crisp/guaranteed-cost stable wind turbine generator set
CN102900606A (en) * 2012-09-19 2013-01-30 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time guaranteed cost stabilization
CN102900613A (en) * 2012-09-19 2013-01-30 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time robustness or guaranteed cost stabilization
CN102900606B (en) * 2012-09-19 2014-11-19 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time guaranteed cost stabilization
CN102900603B (en) * 2012-09-19 2014-11-19 河北工业大学 Variable pitch controller design method based on finite time non-crisp/guaranteed-cost stable wind turbine generator set
CN102900613B (en) * 2012-09-19 2014-11-19 河北工业大学 Wind turbine generator set variable pitch controller design method based on finite time robustness or guaranteed cost stabilization
CN102900604B (en) * 2012-09-19 2014-11-19 河北工业大学 Variable pitch controller design method based on finite time non-crisp stable wind turbine generator set
CN103912447A (en) * 2014-04-04 2014-07-09 上海电机学院 Attach angle weight coefficient based independent variable pitch control system controlled by fuzzy PID (proportional integral derivative)

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CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20110112

Termination date: 20150617

EXPY Termination of patent right or utility model