Solid Rocket Motor Structure Selection Based On Knowledge
- Paper number
IAC-07-C4.I.05
- Author
Dr. Gu JianGuang, National University of Defense Technology, China
- Year
2007
- Abstract
To discuss the application of expert system in solid rocket motor (SRM) design, general fuzzy min-max (FGMM) neural network was used for structure selection of SRM design, knowledge-based engineering and Fuzzy sets theory were studied, automatism and quantification of SRM structure selection was realized. The model based knowledge of SRM structure selection was presented firstly. The second, GFMM neural network for SRM structure selection was created. Finally, structure selection was finished in a SRM design by the GFMM neural network. Many feasible results of structure selection were gained, which include the actual result. This technology can improve the degree of automatism and quantification of SRM structure selection, all of difference feasible results are present to SRM designer.
- Abstract document
- Manuscript document
IAC-07-C4.I.05.pdf (🔒 authorized access only).
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