NDLI: A nonnested collaborative optimization method for multidisciplinary design problems

Content Provider	IEEE Xplore Digital Library
Author	Beibei Wu Hai Huang Wenrui Wu
Copyright Year	2012
Description	Author affiliation: School of Astronautics, Beijing University of Aeronautics and Astronautics, 100191, China (Beibei Wu; Hai Huang; Wenrui Wu)
Abstract	Collaborative optimization (CO), a decomposition-based multidisciplinary design optimization (MDO) method, is generally used in aeronautical systems. However, the subsystems optimizations of CO method are nested into system optimization of it in the execution process, numerous subsystem analyses are required to achieve consistency for entire system. For this problem, a nonnested collaborative optimization (NNCO) method is developed, in which system and subsystem optimizations are solved sequentially and repeatedly, and system consistancy is coordinated by a loop process together with the update of penalty parameters. Through test results of common analytical problems, which are generally used in the experiments of CO method, it's shown that the NNCO method requires two third fewer calls of the subsystem analysis than the CO method at least. Further more, CO and NNCO method are used to solve a satellite MDO problem, 0.05 and 8.05 hours are consumed for these two methods respectively. The efficiency of NNCO method in practical engineering design problem is proved.
Starting Page	148
Ending Page	152
File Size	658397
Page Count	5
File Format	PDF
ISBN	9781467312110
e-ISBN	9781467312127
DOI	10.1109/CSCWD.2012.6221811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Propulsion Gallium arsenide ISO standards Satellites Payloads Image resolution Couplings efficiency collaborative optimization multidisciplinary design optimization optimization process analysis
Content Type	Text
Resource Type	Article

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