Genetic Programming Method for Satellite System Topology and Parameter Optimization

Abstract

In this paper, a genetic programming method for satellite system design is proposed to simultaneously optimize the topology and parameters of a satellite system. Firstly, the representation of satellite system design is defined according to the tree structure. The genetic programming method is designed based on that representation. Secondly, according to the tree structure of different satellite schemes, different multiscale satellite models are established, in which various physical fields couple together. Then, an evaluation system is also proposed to test the performances of different satellite schemes. Finally, the application to the design of an earth observation satellite demonstrates the effectiveness of the proposed method.

Multi-Granularity Genetic Programming Optimization Method for Satellite System Topology and Parameter

“…The basic operations of GP include replication, crossover, and mutation. In this paper, the genetic operation among individuals of the same granularity in the population is consistent with the method in [21]. A method of how to deal with the relationship between groups of individuals with different granularities in a population is proposed.…”

“…The objective function and constraints of the satellite system design are expressed as J(X) and C(X), respectively. The optimization problem of the satellite system design can be described as [21] find min ( ) s.t.…”

“…where the objective function and constraints of the field model are defined in our previous work [21]. Two levels of the index system are established which are the system indices and subsystem indices.…”

“…The five-level tree structure is used to describe the satellite system scheme [21]. In this paper, combined with the definition of the multi-granularity model, each node of the tree structure is redefined, and the tree structures of the point model, stream model, and field model are obtained.…”

“…The ADCS, power, thermal, TT&C, propulsion, payload, and structure subsystems are selected to optimize the system composition, structure, and parameters. The weighted coefficients of the main optimization objectives are set as [21]. The optimizer parameters are set as Table II in which parameters for the optimization of satellite system scheme are set according to [21].…”