Method for determining united optimization design parameter of satellite thermal insulating layer and radiating surface system

Abstract

The invention applies chaos genetic algorithm (CGA) to make united optimization design for the area of a radiating surface and the thickness of a thermal insulating layer of nano-satellite, so as to reach the temperature requirement ensuring the nano-satellite to work normally better. According to one aspect of the invention, a method for determining united optimization design parameter of satellite thermal insulating layer and radiating surface is characterized by comprising: the satellite is divided into a plurality of temperature set total units; a group of design parameter (Fr and delta s) with minimum value of one united optimization design objective function (f (Fr and delta s)) of the thermal insulating layer and the radiating surface is determined; the optimized objective function (f (Fr and delta s)) is corresponding to the temperature of each of the temperature set total units and has the positive correlation with the deviation of the preset optimum working temperature, including searching the optimization within the whole feasible solution range of the optimized objective function (f (Fr and delta s)), thereby determining the optimization design parameter which is better to satisfy the comprehensive evaluating indicator of the thermal insulating layer and the radiating surface.

Description

technical field [0001] The invention relates to a method for joint optimization design of nanosatellite heat insulation layer thickness and heat dissipation surface area based on Chaos Genetic Algorithm (hereinafter referred to as CGA), which belongs to the field of aerospace science and technology. Background technique [0002] (1) Generation and application of nanosatellites [0003] Nanosatellite was first proposed by Aerospace in a research report in 1993. It is based on the micro-electromechanical integration system (MEMS, micromachines for short) technology developed in recent years and consists of several MEMS. A new concept of satellite based on ASIM. Nano-satellites gather new technologies, new materials, and new processes such as microelectronic machinery, light composite materials, and ultra-fine machining. The mass is between 1 and 10 kg, and the functional density is greatly improved. [0004] Nano-satellites can not only realize a single low-cost small satell...

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Problems solved by technology

[0005] (2) Traditional spacecraft thermal design methods

These three methods have their own advantages and disadvantages: the enumeration method can enumerate all feasible solutions in the feasible solution set, and find the exact optimal solution, but its efficiency is low and it is very time-consuming; A heuristic rule that generates a feasible solution is used to find the optimal solution. Although the efficiency is high, the heuristic rule is not universal; the search algorithm searches for the optimal solution or Approximate optimal solution, which can achieve a better balance between the quality of the approximate solution and the efficiency of the solution

However, the basic genetic algorithm also has inevitable shortcomings: such as premature phenomenon, it is easy to fall into local optimum, and a large number of iterative calculations are required to find the optimal solution

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