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

A multi-disciplinary optimization method for satellite systems based on multi-model fusion

A satellite system and optimization method technology, applied in multi-objective optimization, constraint-based CAD, design optimization/simulation, etc., can solve problems such as delaying satellite operation service time, satellite system equipment radiation damage, and affecting satellite system performance

Active Publication Date: 2021-01-19
BEIJING INSTITUTE OF TECHNOLOGYGY +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the small thrust of the electric propulsion system (usually hundreds of mN), the all-electric propulsion satellite system often takes a long time to realize the orbit transfer from GTO to GEO (usually several months), which delays the operation and service time of the satellite to a certain extent.
In addition, a long orbit change period will also cause the satellite to repeatedly pass through the Van Allen radiation belt during the orbit transfer period, causing serious radiation damage to satellite system equipment such as solar cell arrays, thereby affecting the performance of the entire satellite system

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
  • A multi-disciplinary optimization method for satellite systems based on multi-model fusion
  • A multi-disciplinary optimization method for satellite systems based on multi-model fusion
  • A multi-disciplinary optimization method for satellite systems based on multi-model fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0100] Embodiment 1: An example of multidisciplinary optimization of the all-electric geostationary orbit satellite system.

[0101] Such as Figure 9 As shown, a satellite system multidisciplinary optimization method based on multi-model fusion disclosed in this embodiment is applicable to the multidisciplinary optimization problem of the all-electric push geostationary orbit satellite system, and ensures that the optimization and optimization of the system scheme can be quickly realized in the overall optimization stage. Revised to provide reference for satellite system program demonstration and overall optimization.

[0102] Step A: Determine the initial conditions for the optimization problem of the all-electric propulsion geostationary satellite system.

[0103] Step A is implemented as follows:

[0104] Step A-1: ​​Determine the all-electric geostationary orbit satellite system analysis discipline, mainly composed of geosynchronous orbit transfer discipline, position 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 discloses a satellite system multidisciplinary optimization method based on multi-model fusion, which belongs to the field of spacecraft system design. The realization method of the present invention is as follows: by establishing the key subject analysis model of the satellite system, and taking the quality of the satellite system as the objective function, the design variables are optimized; in order to improve the solution efficiency of the system solution optimization problem, the present invention establishes the subject of geosynchronous orbit transfer and the satellite platform For the high-precision model and low-precision model of the structural discipline, the Co-kriging proxy model is used to fuse the model data of different precision, and the sequence filling sampling is carried out through the multi-objective optimization that comprehensively considers the expected improvement degree and feasibility probability, and then fully explores the design space to realize the Co-kriging agent model update and management, so as to efficiently obtain the solution that meets the mission requirements of the satellite system and the total mass of the satellite is as small as possible, reduces the calculation cost of satellite system optimization, and improves the optimization efficiency. The invention helps to solve technical problems in other relevant engineering fields.

Description

technical field [0001] The invention relates to a satellite system multidisciplinary optimization method based on multi-model fusion, belonging to the field of spacecraft system design. Background technique [0002] The Geostationary Orbit (GEO) satellite system has developed rapidly in the past few decades, and has attracted worldwide attention due to its advantages in the fields of earth observation, navigation and communication. In recent years, some all-electric geostationary orbit satellites based on the Boeing BSS-702SP platform, such as Asia Broadcasting Satellite-3A (ABS-3A) and European Communications Satellite-115B (Eutelsat-115B), have been successfully developed. Current state-of-the-art all-electric GEO satellites are able to use an efficient electric propulsion (EP) system for all transfers and maneuvers such as orbit climb, position keeping and attitude control. Compared with the traditional chemical propulsion GEO satellite system, the biggest advantage of t...

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 Patents(China)
IPC IPC(8): G06F30/20G06F30/23G06F111/04G06F111/06
CPCG06F2111/06G06F2111/04G06F30/20G06F30/23
Inventor 龙腾马泽远史人赫
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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