Large high-speed rotary equipment blade sorting method based on multi-target regulation and control

A leaf sorting, multi-objective technology, applied in computational models, biological models, instruments, etc., can solve problems such as long time consumption, strong randomness of genetic algorithms, and long learning process of neural network algorithms.

Pending Publication Date: 2020-05-08
HARBIN INST OF TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] General leaf sorting methods are slow and time-consuming, such as enumeration method and search method; the learning process of neural network algorithm is long, and it is easy to fall into local optimal

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
  • Large high-speed rotary equipment blade sorting method based on multi-target regulation and control
  • Large high-speed rotary equipment blade sorting method based on multi-target regulation and control
  • Large high-speed rotary equipment blade sorting method based on multi-target regulation and control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0071] A blade sorting method for large-scale high-speed rotary equipment based on multi-objective regulation, the blade sorting method includes the following steps:

[0072] Step 1: Set up the initial population;

[0073] Step 2: Establish the physical model of the rotor mass, mass moment and frequency, design the fitness function according to the physical model and fitness function requirements, and calculate the fitness of all chromosomes in 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 large high-speed rotary equipment blade sorting method based on multi-target regulation and control. The method comprises the steps of 1, setting an initial population; 2, establishing a rotor mass, mass moment and frequency physical model, designing a fitness function according to the physical model and fitness function requirements, and performing fitness calculation onall chromosomes of the initial population; 3, performing selection operation on the initial population by adopting a roulette method; 4, performing the following steps by taking the probability generated by the cloud generator under the X condition as a necessary condition; 5, performing crossover operation by adopting a recombined crossover operator; 6, performing mutation operation by adoptinga two-element optimization mutation operator; 7, if the maximum number of iterations is not reached, repeating the steps 3-6; and if the maximum number of iterations is reached, ending the iteration,and outputting the optimal chromosome. Aiming at the requirement of poor quality of blade division quadrants, the rotor blades of the large high-speed rotary equipment are sorted through a cloud self-adaptive genetic algorithm to reduce the mass moment of the large high-speed rotary equipment.

Description

technical field [0001] The invention belongs to the technical field of large-scale high-speed rotary equipment; in particular, it relates to a method for sorting blades of large-scale high-speed rotary equipment based on multi-objective regulation. Background technique [0002] The unbalance optimization method of large-scale high-speed rotary equipment is an important content in engineering. A reasonable arrangement of blades can reduce the mass moment of the rotary equipment, improve the start-stop performance of the rotor and reduce the rotor vibration caused by blade resonance. In view of the above problems, the present invention proposes a three-objective optimization method for rotor blade mass, frequency, and mass moment. [0003] The quality characteristics of the rotor are related to the inertia, start-stop and acceleration characteristics of large-scale high-speed rotary equipment. Therefore, the general rotary equipment makes the following requirements on the qu...

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): G06F30/20G06N3/00
CPCG06N3/006
Inventor 王晓明谭久彬孙传智刘永猛肖平欢
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap