Maximum power tracking fuzzy control method of uncertain wind driven generator system

A technology for maximum power tracking and wind turbines, applied in the direction of adaptive control, general control systems, control/regulation systems, etc. Applicable to the field of variable speed wind power generation, wrong search direction, etc.

Active Publication Date: 2021-03-12
JIUJIANG UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since the traditional HCS algorithm is not sensitive to rapid changes in wind speed, it may lead to errors in the search direction
The traditional PI control structure uses the tip speed method to track the wind speed, but for nonlinear systems, the control effect of the traditional control method is not ideal, especially for the permanent magnet synchronous generator PMSG due to long-term high wind speed, high The influence of load operation and temperature, the internal physical parameters of the generator, such as generator resistance Rs, inductance Ls and flux linkage ψpm will be affected to varying degrees and change their values, so it is necessary for this generator model parameter Research on Uncertainty Control Problems
[0004] The inventor found that the current maximum power tracking control method for wind turbines is not suitable for variable-speed wind power generation with uncertain and unknown interference signals, and thus cannot guarantee the stable operation of wind turbines with uncertain wind speeds and unknown interference signals

Method used

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  • Maximum power tracking fuzzy control method of uncertain wind driven generator system
  • Maximum power tracking fuzzy control method of uncertain wind driven generator system
  • Maximum power tracking fuzzy control method of uncertain wind driven generator system

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Experimental program
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Effect test

Embodiment 1

[0037] according to figure 1 , the maximum power tracking fuzzy control method of the uncertain wind generating set of the present embodiment, which includes:

[0038] S101: Obtain the stator voltage and current of the wind generator and combine the relevant parameters of the wind generator to construct a wind generator model with uncertainty, disturbance and noise interference.

[0039] In this embodiment, the related parameters of the wind power generator include stator resistance, motor-side rotational speed, number of pole pairs, inductance, electromagnetic torque and permanent magnet flux linkage.

[0040] In the specific implementation, based on the stator voltage and current of the wind turbine and related parameters of the wind turbine, the initial model of the wind turbine is constructed:

[0041]

[0042]

[0043] where: V d , V q , i d , i q are the stator voltage and current on the d-q axis, R s is the stator resistance, ω e =P n ω m is the motor sid...

Embodiment 2

[0106] This embodiment provides a maximum power tracking fuzzy control system for an uncertain wind power generating set, which includes:

[0107] A model building module, which is used to obtain the stator voltage and current of the wind turbine and combine the relevant parameters of the wind turbine to construct a wind turbine model with uncertainty, disturbance and noise interference;

[0108] A fuzzy linearization module, which is used to linearize the wind turbine model according to the T-S fuzzy linearization rule, and then perform infinite norm closed-loop control maximum power tracking;

[0109] The control parameter calculation module is used for calculating the relevant control parameters by constructing the Lyapunov equation based on the estimation system model with disturbance, considering the maximum power tracking error and the disturbance error, so as to perform the maximum power tracking fuzzy control on the wind power generating set.

[0110] Each module in th...

Embodiment 3

[0112] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method of maximum power tracking fuzzy control for an uncertain wind power generating set as described in the first embodiment above is implemented. step.

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Abstract

The invention belongs to the field of variable-speed wind power generation control, and provides a maximum power tracking fuzzy control method of an uncertain wind generating set. The method comprisesthe following steps of: acquiring stator voltage and current of a wind driven generator, and constructing a wind driven generator model with uncertainty, disturbance and noise interference by combining related parameters of the wind driven generator; according to a T-S fuzzy linearization rule, carrying out linearization processing on the wind driven generator model, and then carrying out infinite norm closed-loop control maximum power tracking; based on a model with an interference estimation system, comprehensively considering the maximum power tracking error and the interference error, andsolving related control parameters by constructing a Lyapunov equation so as to perform maximum power tracking fuzzy control on the wind generating set.

Description

technical field [0001] The invention belongs to the field of variable-speed wind power generation control, and in particular relates to a maximum power tracking fuzzy control method of an uncertain wind power generating set. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Because the traditional HCS algorithm is not sensitive to rapid changes in wind speed, it may lead to errors in the search direction. The traditional PI control structure uses the tip speed method to track the wind speed, but for nonlinear systems, the control effect of the traditional control method is not ideal, especially for the permanent magnet synchronous generator PMSG due to long-term high wind speed, high The influence of load operation and temperature, the internal physical parameters of the generator, such as generator resistance Rs, inductance Ls and flux lin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042Y02E10/76
Inventor 陈燕芳郭书超
Owner JIUJIANG UNIVERSITY
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