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Global optimal parameter identification method of direct-driven permanent magnet synchronous wind driven generator

A wind turbine, globally optimal technology, applied in the control of generators, speed/acceleration control of electric mode, electrical components, etc. To the ideal effect and other issues, to achieve the effect of rapid identification

Pending Publication Date: 2021-07-09
HUNAN UNIV OF TECH
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Problems solved by technology

[0002] The direct-drive permanent magnet synchronous wind turbine is a strongly coupled, multivariable, nonlinear system, and the parameters of the generator are easily affected by unpredictable factors. The chain is greatly affected by magnetic flux saturation, so that the vector control can not achieve the ideal effect
In addition, the parameter setting of the controller is related to the parameters of the generator. When the parameters of the generator change, the parameters of the controller need to be re-tuned, otherwise the high-precision control requirements cannot be met.

Method used

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  • Global optimal parameter identification method of direct-driven permanent magnet synchronous wind driven generator
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  • Global optimal parameter identification method of direct-driven permanent magnet synchronous wind driven generator

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Embodiment Construction

[0046] In order to describe the present invention more specifically, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] Such as figure 1 As shown, the global optimal parameter identification method of the direct-drive permanent magnet synchronous wind turbine, the steps include:

[0048] (1) Initialize the particle swarm, and give the initial values ​​of the position and velocity of the system noise covariance matrix Q and the measurement noise covariance matrix R;

[0049] (2) Constantly iteratively find the best solution to the problem through formula (1), and update the Q value and R value;

[0050]

[0051] In the above formula, ν ij is the velocity vector of particle i on the jth dimension; p ij is the position vector of particle i on the jth dimension, P best-md is the current best individual average extremum value searched by particle i in space; G best-d is the current best group extremu...

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Abstract

The invention discloses a global optimal parameter identification method of a direct-driven permanent magnet synchronous wind driven generator. The method comprises the following steps: initializing a particle swarm, giving a system noise covariance matrix Q, and measuring the position and speed initial value of a noise covariance matrix R; finding out an optimal solution of the problem through continuous iteration, and updating a Q value and an R value; updating a current individual average extremum and a group extremum by a fitness function; evolving stagnation times according to the individual average extremum and the group extremum, and disturbing the extremum; and obtaining the optimal identification value of the system state at the moment through measurement updating and time updating. According to the invention, high-precision identification of the stator resistance, the dq inductance and the permanent magnet flux linkage of the direct-drive permanent magnet synchronous wind driven generator can be realized, and the method has the advantages of a high speed and a strong generalization capability.

Description

technical field [0001] The invention belongs to the field of direct-drive permanent-magnet synchronous wind-driven generators, and in particular relates to a global optimal parameter identification method for direct-drive permanent-magnet synchronous wind-driven generators. Background technique [0002] The direct-drive permanent magnet synchronous wind turbine is a strongly coupled, multivariable, nonlinear system, and the parameters of the generator are easily affected by unpredictable factors. The chain is greatly affected by magnetic flux saturation, so that the vector control cannot achieve the ideal effect. In addition, the parameter setting of the controller is related to the parameters of the generator. When the parameters of the generator change, the parameters of the controller need to be re-tuned, otherwise the high-precision control requirements cannot be met. Therefore, it is necessary to design a global optimal parameter identification method for direct-drive ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P9/00G05D13/62
CPCH02P9/00G05D13/62
Inventor 张阳程谆于惠钧文定都廖楷娴
Owner HUNAN UNIV OF TECH
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