Preliminary integrated analysis for modeling and optimizing space stations at conceptual level

Key disciplines at the conceptual design stage for space station are introduced, which are configuration, dynamics and control, and power disciplines. The main variables and parameters in the three disciplines are presented, and the relevant disciplinary analysis models are developed. The integrated analysis framework of the space station is obtained afterward. Then, the multidisciplinary optimization for solar array configuration is taken as an example of the space station optimization based on the integrated analysis model. The optimization problem is modeled with the use of the collaborative optimization (CO). The system-level and three disciplinary optimization models are introduced. In the optimization process, MATLAB is utilized for simulation, and the adaptive genetic algorithm (AGA) is applied as the basic optimization algorithm. It is shown that the optimization problem is effectively solved with the use of the CO and AGA. Moreover, using the integrated analysis framework, the parameters of space station are successfully calculated with high computational efficiency at the conceptual design stage.