Satellite multidisciplinary design optimization based on support vector regression surrogate model

To improve the quality and efficiency in satellite design, the satellite multidisciplinary design optimization is presented with the object of minimizing total mass considering orbit, payload, power supply and structure. The paper combs the coupling among the four subsystems and establishes the detailed and practical disciplinary analysis model. The optimization strategy is proposed based on support vector regresstion(SVR) method. The strategy is applied to multidisciplnary design optimization (MDO) of the marine satellite. The studied satellite takes Ocean 1 satellite (HY-1) as a reference, and the total mass of the satellite is reduced by 14.1% after optimization compared with the initial value. The optimization result proves the rationality of the satellite's MDO model and the effectiveness of the optimization strategy. It is of vital importance to the future work of the application of SVR metamodel in satellite MDO design.