Satellite multidisciplinary collaborative optimization with distributed computing

Using the high fidelity model in the multidisciplinary design optimization (MDO) application is becoming more and more popular, but it brings complex coupling relationship and huge computing intensity, which need efforts to be well organized to reduce the computation time. In this paper, a parallel computing environment distributed in local area network (LAN) was established based on the collaborative optimization (CO) method. The distributed computing system communicated with Transfer Control Protocol (TCP) and used XML database to store and manage the data. The proposed system was applied in a remote sensing satellite system parameters design considering four subsystems, which includes structure, attitude control (AC), power, and thermal control (TC). The result shows that the efficiency can be improved by about 60% relative to the sequential running plan.