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Speed ​​sensorless control algorithm for direct drive permanent magnet synchronous wind power system

A speed sensorless, wind power system technology, applied in the direction of motor generator control, electronic commutation motor control, control system, etc., to achieve the effect of improving stability and reliability, improving efficiency, and reducing impact

Inactive Publication Date: 2011-12-21
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003]Aiming at the problem of inaccurate speed identification caused by changes in motor stator resistance and other parameters, the present invention provides a speed sensorless control algorithm for direct drive permanent magnet synchronous wind power systems
The invention utilizes the parameters of the PMSG model to achieve an ideal coordination between the control effect and the control cost, and adopts the MRAS-based stator resistance parameter identification algorithm to solve the problem of inaccurate speed identification caused by changes in parameters such as the stator resistance of the motor

Method used

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  • Speed ​​sensorless control algorithm for direct drive permanent magnet synchronous wind power system
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  • Speed ​​sensorless control algorithm for direct drive permanent magnet synchronous wind power system

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Embodiment Construction

[0025] Taking the hidden pole permanent magnet synchronous motor as an analysis, the mathematical model of the stator current in the rotating coordinate system is

[0026] (1)

[0027] The mathematical model of estimated stator current with adjustable construction parameters is

[0028] (2)

[0029] , is the stator voltage on the dq coordinate system;

[0030] , is the stator current on the dq coordinate system;

[0031] , is the stator dq current estimated value of the adjustable model;

[0032] is the stator equivalent inductance on the dq coordinate system;

[0033] is the stator resistance;

[0034] is the estimated stator resistance of the adjustable model;

[0035] is the flux linkage of the permanent magnet of the rotor;

[0036] is a differential operator;

[0037] is the rotor electrical angular velocity;

[0038] Define the generalized error vector as

[0039] , ,

[0040] Subtract formula (1) from formula (2) to get

...

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Abstract

The invention is a control algorithm that uses detected current and voltage to estimate the real-time value of the stator resistance and speed of the wind power generator, and uses the speed estimated by the algorithm as speed feedback to control the permanent magnet synchronous wind power generator. The speed value is estimated in the following way: According to the motor stator voltage and current value obtained by detection, the stator resistance value of the wind turbine is identified online based on the model reference adaptive system (MRAS), and the estimated electrical angle and the actual electrical angle of the rotor are obtained based on the back electromotive force. Error calculation formula, the fan speed is estimated by eliminating this error. The current and voltage values ​​in the electrical angle error calculation formula are obtained by detection, the stator resistance value that changes during generator operation is obtained by MRAS identification, and the differential term of the stator current is realized by a tracking differentiator (TD), so that it can be estimated more accurately and quickly Rotating speed.

Description

technical field [0001] The invention relates to a speed sensorless control algorithm of a direct drive permanent magnet synchronous wind power system, which uses a stator resistance identification method to improve the speed estimation accuracy and vector control performance of the speed sensorless control algorithm, and belongs to the technical field of wind power generation control equipment. Background technique [0002] In the direct drive permanent magnet synchronous wind power system, the vector control of the permanent magnet synchronous generator (PMSG) needs the speed and position information of the rotor. The most common method is to install a sensor on the rotor shaft, but the installation of the sensor reduces the reliability of the system While increasing the cost, it also brings problems to the maintenance of the system. Moreover, general sensors also have requirements for temperature, humidity, and electromagnetic environment, and wind turbines are usually in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/14H02P21/18H02P21/24
Inventor 章国宝倪道宏魏自聪祖晖黄永明祝骅
Owner SOUTHEAST UNIV
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