TY - JOUR
T1 - Multidisciplinary Design Optimization of Space Maneuvering Vehicle Coupling with Mixed Variable
AU - Su, Hua
AU - Wang, Jing Shi
AU - Gong, Chun Lin
AU - Gu, Liang Xian
AU - Li, Bo
AU - Zhang, Xiao Nan
N1 - Publisher Copyright:
© 2017, Editorial Dept. of JA. All right reserved.
PY - 2017/12/30
Y1 - 2017/12/30
N2 - To solve the multidisciplinary design optimization (MDO) problem of a space maneuvering vehicle (SMV) under complex interdisciplinary coupling, a MDO solution technique considering continuous-discrete mixed variables is developed. Based on the requirements of the SMV conceptual scheme design, a MDO model containing orbital system, power system, structure system, propulsion system and GNC system is constructed. For the corresponding mixed variable MDO problem, a modified MDO architecture is proposed to solve the corresponding mixed variable MDO problem via variable transformation method and a mixed variable MDO process. Total mass of the optimized SMV has been reduced by 18.1% compared with the original scheme, the effectiveness and applicability of this proposed method are proved. The comparison between the variable transformation method and the direct optimization method indicates that the method proposed in this paper has a better efficiency and reliability over the others.
AB - To solve the multidisciplinary design optimization (MDO) problem of a space maneuvering vehicle (SMV) under complex interdisciplinary coupling, a MDO solution technique considering continuous-discrete mixed variables is developed. Based on the requirements of the SMV conceptual scheme design, a MDO model containing orbital system, power system, structure system, propulsion system and GNC system is constructed. For the corresponding mixed variable MDO problem, a modified MDO architecture is proposed to solve the corresponding mixed variable MDO problem via variable transformation method and a mixed variable MDO process. Total mass of the optimized SMV has been reduced by 18.1% compared with the original scheme, the effectiveness and applicability of this proposed method are proved. The comparison between the variable transformation method and the direct optimization method indicates that the method proposed in this paper has a better efficiency and reliability over the others.
KW - MDO architecture
KW - Mixed variable optimization
KW - Multidisciplinary design optimization (MDO)
KW - Space maneuvering vehicle (SMV)
KW - Variable transformation method
UR - http://www.scopus.com/inward/record.url?scp=85046089168&partnerID=8YFLogxK
U2 - 10.3873/j.issn.1000-1328.2017.12.001
DO - 10.3873/j.issn.1000-1328.2017.12.001
M3 - 文章
AN - SCOPUS:85046089168
SN - 1000-1328
VL - 38
SP - 1253
EP - 1262
JO - Yuhang Xuebao/Journal of Astronautics
JF - Yuhang Xuebao/Journal of Astronautics
IS - 12
ER -