Filter-Based Sequential Radial Basis Function Method for Spacecraft Multidisciplinary Design Optimization

Spacecraft system design is practically a complex multidisciplinary design optimization (MDO) problem. Because of the application of high-fidelity simulation models, the massive computational cost of spacecraft MDO problems becomes a bottleneck and challenging problem in engineering practices. To address the issue, this paper proposes a novel filter-based sequential radial basis function (FSRBF) method for effectively and efficiently solving spacecraft MDO problems. In FSRBF, to handle expensive constraints, a filter is constructed, augmented, and refined based on the concept of Pareto nondomination, which is then combined with a support vector machine (SVM) to construct the filter-based region of interest (FROI) for sequentially bias sampling. During the optimization process, the expensive multidisciplinary analysis process is approximated by RBF metamodels to reduce the computational cost. The RBF metamodels are gradually updated via consecutively sampling within the FROI, which leads the search to rapi...