Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (3): 535-544.doi: 10.21629/JSEE.2019.03.11

• Systems Engineering • Previous Articles     Next Articles

A decision support system for satellite layout integrating multi-objective optimization and multi-attribute decision making

Yan'gang LIANG*(), Zheng QIN()   

  • Received:2018-05-29 Online:2019-06-01 Published:2019-07-04
  • Contact: Yan'gang LIANG E-mail:liangyg@nudt.edu.cn;qinzheng911@126.com
  • About author:LIANG Yan'gang was born in 1979. He received his Ph.D. degree in aerospace science and technology from National University of Defense Technology, China, in 2009. He is currently an associate professor in the College of Aerospace Science and Engineering, National University of Defense Technology. His research interests include aerospace system analysis and simulation, and effectiveness assessment. E-mail:liangyg@nudt.edu.cn|QIN Zheng was born in 1992. He received his B.S. degree in aerospace science and technology from Harbin Institute of Technology, China, in 2014, and his M.S. degree from National University of Defense Technology, China, in the area of aerospace science and technology in 2016. He is currently a Ph.D. candidate in the College of Aerospace Science and Engineering, National University of Defense Technology. His research interests include system optimization, multitarget tracking, sensor management and satellite constellation scheduling. E-mail:qinzheng911@126.com
  • Supported by:
    the National Natural Science Foundation of China(51405499);This work was supported by the National Natural Science Foundation of China (51405499)

Abstract:

A decision support system, including a multi-objective optimization framework and a multi-attribute decision making approach is proposed for satellite equipment layout. Firstly, given three objectives (to minimize the C.G. offset, the cross moments of inertia and the space debris impact risk), we develop a threedimensional layout optimization model. Unlike most of the previous works just focusing on mass characteristics of the system, a space debris impact risk index is developed. Secondly, we develop an efficient optimization framework for the integration of computer-aided design (CAD) software as well as the optimization algorithm to obtain the Pareto front of the layout optimization problem. Thirdly, after obtaining the candidate solutions, we present a multi-attribute decision making approach, which integrates the smart Pareto filter and the correlation coefficient and standard deviation (CCSD) method to select the best tradeoff solutions on the optimal Pareto fronts. Finally, the framework and the decision making approach are applied to a case study of a satellite platform.

Key words: layout optimization, satellite, multi-objective optimization, Pareto front, multi-attribute decision making