Unlock instant, AI-driven research and patent intelligence for your innovation.

Self-adaption observer based wind turbine fault diagnosis and isolation method

A technology of wind turbine and fault diagnosis, which is applied to wind turbines, monitoring of wind turbines, control of wind turbines, etc., to achieve the effect of improving performance

Inactive Publication Date: 2020-05-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the traditional adaptive fault estimation algorithm can guarantee the unbiased

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaption observer based wind turbine fault diagnosis and isolation method
  • Self-adaption observer based wind turbine fault diagnosis and isolation method
  • Self-adaption observer based wind turbine fault diagnosis and isolation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0120] The following is attached Figure 1~4 The present invention is described in further detail.

[0121] An adaptive observer-based fault diagnosis and isolation method for wind turbines that can diagnose eight types of faults proposed in a wind turbine benchmark model. The specific implementation steps are as follows:

[0122] Step 1: Establish a wind turbine reference system, which includes eight basic faults.

[0123] Further includes:

[0124] Step 11: Combine Figure 1 , the wind turbine benchmark model includes a pitch system, a transmission system, a generator and frequency converter system, and a controller;

[0125] The controller references β by using the blade pitch angle r to control the pitch system, by using the generator torque reference τ g,r To control the generator and inverter system. P r For reference power, the value is 4.8×10 6 .

[0126] Vw represents the wind speed, Vw passes through the pitch system, and the blades of the pitch system rota...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a self-adaption observer based wind turbine fault diagnosis and isolation method which can work out eight types faults put forward in a draught fan benchmark model and comprises the following specific steps: 1, modeling a draught fan benchmark model comprising eight types of basic faults; 2, carrying out simulation on the draught fan benchmark model, enabling two sensors to be connected with each part to meet the requirement of physical redundancy, and recording the actual measuring value obtained by the sensors; and 3, transmitting the value obtained after simulationof the draught fan benchmark model obtained in the step 2 in the designed self-adaption observer, comparing the value obtained by the self-adaption observer with the measuring value in the sensors toobtain the value of a residual signal, comparing the value of the residual signal with a threshold value, and judging whether a fault is generated during certain period of time and judging the fault generated specific position. The self-adaption observer based wind turbine fault diagnosis and isolation method ensures realization of fault diagnosis and the isolation process and also adopts the estimated value for later-period fault-tolerant control.

Description

technical field [0001] The invention belongs to the field of fan fault diagnosis, and in particular relates to a fault diagnosis and isolation method of a wind power generator using an adaptive observer and a FAFE algorithm. Background technique [0002] Sliding mode observer is a kind of dynamic system that obtains the estimated value of state variable according to the measured value of external variable of the system. In the literature [1], the wind turbine foot fault diagnosis and isolation scheme based on the sliding mode observer is used to convert the brake fault in the wind turbine pitch system into a sensor fault. In order to eliminate the interference effect in aerodynamics, a transmission system is established. Reduce the order of the model and design a set of sliding mode observers using the new system representation. [0003] The sliding mode observer is used for modeling in the literature, but the sliding mode observer is extremely sensitive to measurement nois...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00F03D7/04
CPCF03D7/045F03D7/046F03D17/00Y02E10/72
Inventor 滕婧李常玲杨韬燃冯一展
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)