ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Component layout design optimization for multi-physical field noise suppression in gravitational wave detection spacecraft
Received date: 2025-01-16
Revised date: 2025-02-09
Accepted date: 2025-03-12
Online published: 2025-03-28
Supported by
National Key Research and Development Program of China(2020YFC2200901)
The space-based gravitational wave detection mission places extremely high demands on the cleanliness of the core environment within spacecraft. To meet these demands， a Bilevel Sequential Optimization Approach （BSOA） is proposed to solve the Spacecraft Component Layout Design （SCLD） problem， aiming to effectively suppress electromagnetic forces and self-gravity noise. SCLD is a typical mixed-integer programming problem， and the BSOA method is further formulated as a bilevel optimization problem for solution. The upper-level optimization is defined as an integer nonlinear programming problem to determine the orientation and region of components， while the lower-level optimization is defined as a real-valued nonlinear programming problem to optimize the placement of components within the selected region. By introducing a feedback iterative mechanism， the results of the lower-level optimization influence upper-level decisions， enabling progressive optimization of the layout scheme. Within the bilevel sequential optimization framework， an elite genetic algorithm is employed for global optimization of the upper-level problem using， while the lower-level problem is locally searched using a differential evolution algorithm. To address various technical challenges in the optimization process， a hybrid encoding strategy is proposed to meet the coding requirements of evolutionary algorithms， a regional division strategy is introduced to discretize installation positions， and a collision detection approach is implemented to identify violations of geometric constraints among components. Experimental results demonstrate that the proposed approach efficiently solves layout design problems under complex multi-constraint conditions， generates layout schemes that meet scientific mission requirements， and significantly outperforms traditional single-stage and two-stage optimization methods in terms of performance indicators such as mean and standard deviation. This approach exhibits significant application potential and extensibility， laying a technical foundation for future gravitational wave detection missions.
Ziruo FANG , Ningbiao TANG , Ye LIU , Zhiming CAI , Wen CHEN , Zhencai ZHU , Xingjian SHI . Component layout design optimization for multi-physical field noise suppression in gravitational wave detection spacecraft[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2025 , 46(18) : 231817 -231817 . DOI: 10.7527/S1000-6893.2025.31817
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