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

Optimization method for minimum fuel consumption control of aero-engine based on improved genetic algorithm

An improved genetic algorithm and aero-engine technology, which is applied in the field of aero-engine minimum fuel consumption control optimization based on improved genetic algorithm, can solve problems such as large amount of calculation, easy to mature, unsuitable for aero-engine performance optimization, etc., to improve flight distance, maintain The effect of constant reduction

Pending Publication Date: 2021-05-25
NORTHWESTERN POLYTECHNICAL UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the genetic algorithm has the disadvantages of large amount of calculation, long time consumption, and premature maturity, so it is not suitable for complex aero-engine performance optimization.

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
  • Optimization method for minimum fuel consumption control of aero-engine based on improved genetic algorithm
  • Optimization method for minimum fuel consumption control of aero-engine based on improved genetic algorithm
  • Optimization method for minimum fuel consumption control of aero-engine based on improved genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The problem solved by the invention is the optimal control of the minimum fuel consumption of the aero-engine. The optimal control of the engine’s minimum fuel consumption is to keep the thrust of the engine constant and the fuel consumption rate to the minimum, and select the optimal control method to find a set of optimal control quantities (main fuel flow W f , Exhaust nozzle area A 9 , Fan guide vane angle dvgl, compressor guide vane angle dvgh).

[0041] Taking the nonlinear mathematical model of a certain type of aviation turbofan engine as the research object, the objective function of the minimum fuel consumption control mode is established, and the optimization algorithm is used to optimize the engine, and the optimal control variables that meet the minimum fuel consumption performance index can be obtained. The minimum fuel consumption control mode refers to reducing the fuel consumption rate of the engine under the premise of engine safety and thrust. This m...

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 provides an optimization method for minimum fuel consumption control of an aero-engine based on an improved genetic algorithm, which improves the genetic algorithm according to the characteristics of an aero-engine, and mainly improves the construction of an initial population, a fitness function, a crossover operator, a mutation operator and the like of the genetic algorithm. The improved genetic algorithm can exert the advantages of the genetic algorithm and avoid the defects of the genetic algorithm, the convergence speed is increased, and the quality of a search result is improved. And the improved genetic algorithm is used for minimum fuel consumption control optimization, and an optimal control variable is output to the aero-engine. On the premise that safe work of the engine is guaranteed, the thrust of the engine is kept unchanged, the oil consumption rate is reduced, and the flight distance of an aircraft is increased.

Description

technical field [0001] The invention relates to the technical field of aero-engine control, in particular to an aero-engine minimum fuel consumption control optimization method based on an improved genetic algorithm. Background technique [0002] The aeroengine is the heart of the aircraft and one of the important indicators to measure the development level of a country's aviation industry. Therefore, the research on strengthening the power system is of great significance to improve the overall level of the country's aviation technology. Because the working process of aero-engine is complex and changeable, and has strong nonlinearity, multiple control variables, time-varying and complex structure characteristics, the research on engine control is more difficult than general control system. [0003] At present, the characteristics of aero-engine control are developing toward refinement, modularization, and integration. The current engine control is no longer a simple synthesi...

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): G06F30/27G06N3/12G06F111/04G06F111/06
CPCG06F30/27G06N3/126G06F2111/04G06F2111/06
Inventor 刘志丹缑林峰杨江吴贞
Owner NORTHWESTERN POLYTECHNICAL UNIV