TY - GEN
T1 - Multidisciplinary design optimization of launch vehicle using objective coordination methodology
AU - Liu, Yang
AU - Chen, Wanchun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/28
Y1 - 2017/2/28
N2 - Objective coordination methodology (OCM) is a two-level design architecture, specifically created for large-scale nonlinear programming problems. Its core ideas are that one problem is decomposed into a user-defined number of subsystem optimization problems, and its appropriate solutions are obtained after a system-level coordination process. And optimal design of launch vehicles is a complex process which gathers a series of disciplines and possesses strong nonlinearity. Multidisciplinary design analysis (MDA) solves such problems by decomposing the problem into different disciplines and bringing in disciplinary analyzers. The present investigation focuses on application of combining OCM with MDA of launch vehicle. Configuration, mass, aerodynamics, trajectory and propulsion disciplines were directly modeled. Minimizing gross mass was selected to be the objective function in the case of guaranteeing better carrying capacity. Integrated optimization was accomplished after system-level coordination and subsystem-level optimization processes. Simulation results show that OCM is feasible and effective. The advantages of the proposed method are the reduction of the dimension of coordination variables at system-level, and the improvement of optimization efficiency.
AB - Objective coordination methodology (OCM) is a two-level design architecture, specifically created for large-scale nonlinear programming problems. Its core ideas are that one problem is decomposed into a user-defined number of subsystem optimization problems, and its appropriate solutions are obtained after a system-level coordination process. And optimal design of launch vehicles is a complex process which gathers a series of disciplines and possesses strong nonlinearity. Multidisciplinary design analysis (MDA) solves such problems by decomposing the problem into different disciplines and bringing in disciplinary analyzers. The present investigation focuses on application of combining OCM with MDA of launch vehicle. Configuration, mass, aerodynamics, trajectory and propulsion disciplines were directly modeled. Minimizing gross mass was selected to be the objective function in the case of guaranteeing better carrying capacity. Integrated optimization was accomplished after system-level coordination and subsystem-level optimization processes. Simulation results show that OCM is feasible and effective. The advantages of the proposed method are the reduction of the dimension of coordination variables at system-level, and the improvement of optimization efficiency.
KW - Large scale system theory
KW - Launch vehicle
KW - MDA
KW - OCM
UR - https://www.scopus.com/pages/publications/85016713944
U2 - 10.1109/IMCEC.2016.7867346
DO - 10.1109/IMCEC.2016.7867346
M3 - 会议稿件
AN - SCOPUS:85016713944
T3 - Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
SP - 925
EP - 930
BT - Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
Y2 - 3 October 2016 through 5 October 2016
ER -