Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Steam turbine valve flow characteristic identification method and system based on T-S fuzzy model and medium

A fuzzy model, valve flow technology, applied in mechanical valve testing, general control systems, control/regulation systems, etc., can solve problems such as high requirements for operators, impact on safe and stable operation of units, and heavy workload

Pending Publication Date: 2020-01-17
STATE GRID HUNAN ELECTRIC POWER +2
View PDF8 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method not only has a large workload, but also requires a high level of operating personnel, and will also have a certain impact on the safe and stable operation of the unit.
In addition, after the test, technicians need to analyze and calculate the test data to realize the identification of the flow characteristics of the steam turbine valve, which will also be affected by certain subjective factors of technicians

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
  • Steam turbine valve flow characteristic identification method and system based on T-S fuzzy model and medium
  • Steam turbine valve flow characteristic identification method and system based on T-S fuzzy model and medium
  • Steam turbine valve flow characteristic identification method and system based on T-S fuzzy model and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Hereinafter, taking a steam turbine with two valves as an example, the T-S fuzzy model-based identification method, system and medium for steam turbine valve flow characteristics of the present invention will be further described in detail. It should be noted that the number of valve adjustments of the steam turbine does not affect the implementation of the steam turbine valve flow characteristic identification method, system and medium based on the T-S fuzzy model of the present invention, and the steam turbine valve flow characteristic identification method, system and medium based on the T-S fuzzy model of the present invention are the same It can also be applied to steam turbines with other numbers of valves, such as steam turbines with 4 valves and so on.

[0035] see figure 1 , the implementation steps of the steam turbine valve flow characteristic identification method based on the T-S fuzzy model in this embodiment include:

[0036] 1) Calculate and obtain the ...

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 discloses a steam turbine valve flow characteristic identification method and system based on a T-S fuzzy model and a medium. The steam turbine valve flow characteristic identification method based on the T-S fuzzy model comprises the steps: calculating and obtaining a regulating stage pressure estimation value corresponding to a steam turbine comprehensive valve position instructionwhen main steam pressure maintains a rated value; and inputting an input vector composed of the turbine comprehensive valve position instruction, the main steam pressure rated value and the regulating stage pressure estimated value into a preset T-S fuzzy model to obtain the actual steam inlet flow of the turbine, thereby obtaining the corresponding relation between the turbine comprehensive valve position instruction and the actual steam inlet flow under the working condition. According to the steam turbine valve flow characteristic identification method, the valve flow characteristics of the steam turbine are identified by adopting the T-S fuzzy model, and a steam turbine valve flow characteristic test is not needed, and manpower and material resources are saved, and the workload is greatly reduced, and adverse effects of a conventional test method on safe and stable operation of a unit are avoided.

Description

technical field [0001] The invention relates to the automatic control technology of steam turbines, in particular to a method, system and medium for identifying flow characteristics of steam turbine valves based on a T-S fuzzy model. Background technique [0002] Accurate identification of flow characteristics of steam turbine valves is a prerequisite for precise control of steam turbines. Whether the valve flow parameters are properly set has an important impact on the safe and stable operation and economical efficiency of the steam turbine. At present, in practical engineering applications, the identification of the flow characteristics of steam turbine valves is usually carried out by the test of flow characteristics of steam turbine valves. This method not only has a large workload, but also requires a high level of operating personnel, and will also have a certain impact on the safe and stable operation of the unit. In addition, after the test, technicians need to ana...

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
IPC IPC(8): G06F30/20F01D17/10G05B13/04G01M13/003G06F111/10
CPCF01D17/10G05B13/042G01M13/003
Inventor 王志杰寻新张建玲朱晓星
Owner STATE GRID HUNAN ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products