Feedback control method of wind energy converting system based on fuzzy performance estimator

A conversion system and feedback control technology, applied in the field of feedback control, can solve the problem that some conclusions cannot be obtained, and achieve the effect of maximizing wind energy capture

Inactive Publication Date: 2012-10-03
JIANGNAN UNIV
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Problems solved by technology

However, because the conclusion parameter is a linear function rather than a fuzzy number, in the actual system, the conclusion part cannot be obtained directly from expert experience and operating data, and must be trained through a certain algorithm

Method used

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  • Feedback control method of wind energy converting system based on fuzzy performance estimator
  • Feedback control method of wind energy converting system based on fuzzy performance estimator
  • Feedback control method of wind energy converting system based on fuzzy performance estimator

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Embodiment Construction

[0009] The present invention will be further described below in conjunction with drawings and embodiments.

[0010] A wind turbine based on a doubly-fed generator (DFIG) is mainly composed of three parts: wind turbine, transmission system, and DFIG. The wind turbine captures the wind energy, converts the wind energy into mechanical energy, makes the wind turbine rotate, drives the DFIG rotor to rotate through the transmission system, thereby generates electric energy, and transmits it to the power grid through the AC-DC converter. figure 1 It is the basic structure of wind turbine based on DFIG.

[0011] First, the mathematical model of the wind turbine and transmission system in the doubly-fed wind power generation system is given;

[0012] Wind turbine model:

[0013] According to Betz theory, the mechanical power generated by a wind turbine is

[0014] P wt ( t ) = ...

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Abstract

The invention discloses a feedback control method of a wind energy converting system based on a fuzzy performance estimator and designs a T-S fuzzy state feedback control system including the fuzzy performance estimator specifically to characteristics of strong nonlinearity and parameter uncertainty of the wind energy converting system, belonging to the feedback control field. Firstly, a nonlinear model and a T-S fuzzy model of the wind energy converting system are provided; secondly, the fuzzy performance estimator of the system is designed based on the T-S fuzzy model of the wind energy converting system; then, a linear controller is designed in each linear local model respectively; and a fuzzy state feedback controller of a global model is constituted by dint of membership function. The method provided by the invention has the advantages of a controller is designed based on the fuzzy performance estimator; the feedback control method ensures that a closed-loop control system has good tracking performance; simultaneously, preferable dynamic performance and stable-state performance can be acquired.

Description

technical field [0001] The invention designs a T-S fuzzy state feedback control system including a fuzzy performance estimator aiming at the characteristics of strong nonlinearity and parameter uncertainty of a wind energy conversion system, which belongs to the field of feedback control. Background technique [0002] Wind energy is a kind of abundant, widely distributed, clean and renewable energy, and it is also one of the most important alternative energy sources. Wind power technology is a renewable energy technology with the best industry maturity, the strongest market competitiveness, and the easiest commercialization. Vigorously developing wind power is of positive significance to protecting the ecological environment, improving the energy structure, and promoting sustainable development. Many countries have incorporated the vigorous development of wind power into their national development plans. How to maximize the utilization of wind energy has always been the res...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/00
CPCY02E10/723Y02E10/72
Inventor 吴定会王莉李意扬沈艳霞赵芝璞潘庭龙纪志成
Owner JIANGNAN UNIV
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