Maximum Power Tracking Fuzzy Control Method for Uncertain Wind Turbine System

A maximum power tracking and wind turbine technology, which is applied in adaptive control, general control system, control/regulation system, etc., can solve the search direction error, and the maximum power tracking control method of wind turbine is not suitable for variable speed wind power generation. , the control effect is not ideal and other problems, to achieve the effect of stable control effect

Active Publication Date: 2022-06-07
JIUJIANG UNIVERSITY
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  • Abstract
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  • 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 for Uncertain Wind Turbine System
  • Maximum Power Tracking Fuzzy Control Method for Uncertain Wind Turbine System
  • Maximum Power Tracking Fuzzy Control Method for Uncertain Wind Turbine System

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Embodiment 1

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

[0038] S101: Acquire 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.

[0039] In this embodiment, the parameters related to the wind turbine include stator resistance, electromechanical side 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, an 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 rotational speed of the e...

Embodiment 2

[0105] The present embodiment provides a maximum power tracking fuzzy control system for uncertain wind turbines, which includes:

[0106] 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;

[0107] a fuzzy linearization module, which is used for linearizing the wind turbine model according to the T-S fuzzy linearization rule, and then performing infinite norm closed-loop control maximum power tracking;

[0108] A control parameter calculation module, which is used to comprehensively consider the maximum power tracking error and the interference error based on the estimated system model with disturbance, and obtain the relevant control parameters by constructing the Lyapunov equation, so as to perform the maximum power tracking fuzzy control of the wind turbine.

[0109] Each module in t...

Embodiment 3

[0111] This embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the fuzzy control method for maximum power tracking of an uncertain wind turbine as described in the first embodiment above. 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 for an uncertain wind power generating set, which includes obtaining the stator voltage and current of the wind power generator and combining the relevant parameters of the wind power generator to construct a method with uncertainty and disturbance and the wind turbine model of noise interference; according to the T-S fuzzy linearization rule, the wind turbine model is linearized, and then the infinite norm closed-loop control maximum power tracking is carried out; based on the band interference estimation system model, the maximum For power tracking error and disturbance error, relevant control parameters are obtained by constructing Lyapunov equations to perform maximum power tracking fuzzy control on wind turbines.

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] 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 blade tip speed method to track the wind speed, but for nonlinear systems, the control effect of the traditional control method is not ideal. The influence of load operation and temperature, the physical parameters inside the generator, such as generator resistance Rs, inductance Ls and flux linkage ψpm will be affected to varying degrees and their values ​​will be changed, so it is necessary to ...

Claims

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Application Information

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