Efficient multi-objective optimization method for satellite constellation

Abstract

The invention discloses an efficient multi-objective optimization method for a satellite constellation and belongs to the field of constellation system of a spacecraft. The method comprises the stepsof determining an initial condition based on a Walker-delta constellation configuration, and establishing a constellation orbit kinetic equation, an earth coverage analysis module and an earth observation resolution model; optimizing an earth orbit height, an orbital inclination and an ascending node right ascension with a coverage percentage and a ground pixel resolution by use of a sequential radial basis function multi-objective optimization strategy; and constructing an objective function based on l2 weighting and an improved Pareto fitness function, replacing a high time-consuming constellation performance simulation model with an RBF (Radial Basis Function) agent model to optimize design, and updating and managing the RBF agent model through sequence sampling in an interest interval.Therefore, a Pareto non-inferior solution set satisfying engineering requirements is acquired as a satellite constellation design scheme, the coverage percentage of a constellation for a target observation region is realized as high as possible, the pixel resolution of an effective load is realized as low as possible, the calculation cost and the design cost of the satellite constellation are reduced, and the Pareto leading edge search capability is improved.

Description

technical field [0001] The invention relates to a multi-objective optimization method for an efficient satellite constellation, belonging to the technical field of spacecraft constellation system design. Background technique [0002] Satellite constellation refers to a satellite network composed of multiple satellites according to certain rules and shapes that can provide certain coverage performance. It is the basic form of multiple satellites working together. In order to meet the wide range of needs in the fields of communication, navigation and earth observation, satellite constellation technology has received extensive attention. Among them, satellite constellation design is the premise and key to the establishment of satellite constellation system. Satellite constellation design needs to meet the requirements of various performance indicators of the system, such as coverage performance, observation performance, inter-satellite link and system cost, etc., which is a ty...

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Problems solved by technology

[0019] In order to overcome the problems of the traditional multi-objective evolutionary algorithm in solving satellite constellation design problems such as large amount of calculation and insufficient Pareto frontier exploration ability under limited computing cost, the technical problem to be solved by an efficient satellite constellation multi-objective optimization method disclosed in the present invention is as follows: : To achieve the highest coverage percentage of the constellation on the target observation area and the smallest possible pixel resolution of the payload, reduce the calculation cost and design cost of the satellite constellation, and improve the Pareto frontier search capability

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