Multi-disciplinary design optimization with variable complexity modeling for a stratosphere airship  被引量:10

Multi-disciplinary design optimization with variable complexity modeling for a stratosphere airship

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作  者:Shi YIN Ming ZHU Haoquan LIANG 

机构地区:[1]School of Aeronautic Science and Engineering, Beihang University [2]School of Automation Science and Electrical Engineering, Beihang University

出  处:《Chinese Journal of Aeronautics》2019年第5期1244-1255,共12页中国航空学报(英文版)

基  金:supported in part by the National Key R&D Program of China(No.2016YFB1200100)

摘  要:This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.

关 键 词:MULTI-DISCIPLINARY design optimization Sensitivity analysis STRATOSPHERE AIRSHIP Surrogate model VARIABLE COMPLEXITY MODELING 

分 类 号:V[航空宇航科学技术]

 

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