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.
Highlights
The optimization of satellite system design can improve the design quality of satellites and plays an important role in ensuring the satellite’s advancement, economic efficiency, and reliability
\ 6.73 -6.00 where σeq is the structural strength [36], f axi is axial frequency, f lat is transverse frequency [45], db is the envelope diameter, hb is the envelope height, lw is the body width, dcylinder is the diameter of bearing cylinder [37], Vsat is the satellite volume, and Indexstr is the structural reliability factor [36]. σmax is the ultimate stress required by strength, σcr is the critical stress required by stability, f axi min is the axial frequency minimum value, f lat min is the transverse frequency minimum value, dmin is the effective space diameter of the fairing, hmin is the effective height of the fairing, Vmin is the satellite volume minimum value, and Indexmin is the structural reliability factor minimum value
A Genetic Programming (GP) method of the satellite system design is proposed given the problem that the general optimization algorithms are unable to optimize the system composition structure
Summary
The optimization of satellite system design can improve the design quality of satellites and plays an important role in ensuring the satellite’s advancement, economic efficiency, and reliability. By using a tree structure representation method, Genetic Programming (GP) proposed by Professor Koza [20] can express complex structured expressions This feature makes it suitable for solving optimization problems with variable expression structures [21, 22]. (1) By introducing the GP into the satellite system design, a GP expression method of the satellite system design scheme is established, which solves the problem in describing the composition and structure of the satellite system. (2) By combining the GP scheme with the Digital Satellite [14] tools, the problem of fast construction of MSMPC models in system design optimization is solved.
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