TY  - EJOU
AU  - Chu, Changyong 
AU  - Yin, Chengfang 
AU  - Shi, Shuo 
AU  - Su, Shaohui 
AU  - Chen, Chang 

TI  - Multidisciplinary Modeling and Optimization Method of Remote Sensing Satellite Parameters Based on SysML-CEA
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2023
VL  - 135
IS  - 2
SN  - 1526-1506

AB  - To enhance the efficiency of system modeling and optimization in the conceptual design stage of satellite parameters, a system modeling and optimization method based on System Modeling Language and Co-evolutionary Algorithm is proposed. At first, the objectives of satellite mission and optimization problems are clarified, and a design matrix of discipline structure is constructed to process the coupling relationship of design variables and constraints of the orbit, payload, power and quality disciplines. In order to solve the problem of increasing non-linearity and coupling between these disciplines while using a standard collaborative optimization algorithm, an improved genetic algorithm is proposed and applied to system-level and discipline-level models. Finally, the CO model of satellite parameters is solved through the collaborative simulation of Cameo Systems Modeler (CSM) and MATLAB. The result obtained shows that the method proposed in this paper for the conceptual design phase of satellite parameters is efficient and feasible. It can shorten the project cycle effectively and additionally provide a reference for the optimal design of other complex projects.
KW  - SysML; remote sensing satellite; multidisciplinary design optimization; collaborative optimization

DO  - 10.32604/cmes.2022.022395