DocumentCode :
3093177
Title :
Semantic Composability Criteria in Complex Spacecraft Modelling
Author :
Lin Xin ; Wang Jiang-yun ; Zhu Yu-tong
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Bei Hang Univ., Beijing, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
1244
Lastpage :
1247
Abstract :
High precision modelling of complex spacecraft requires the effective technique to complete the process. It is common practice to build complex systems from disparate sub-systems. Model composition is considered essential in developing heterogeneous complex system models, and especially the composition validity is important to composition. An efficient way enabled the rapid, efficient, and flexible assembly of simulation systems from components of spacecraft models has been developed. A flexible and extensible modelling architecture was built for the modelling and compositing of the spacecraft, which focuses on how models can be linked meaningfully together to build a complex integrated spacecraft model, namely the validation of semantic composability. A semantic composability criteria aimed at spacecraft modelling was proposed. The validation of semantic composability will help users to avoid connection errors, and to avert simulation failure. The modelling framework designing complex spacecraft system with semantic composability criteria was laid down, which truly possessed composition potentialities, because it based on the fact that relationships between atomic system and sub-system are highly set down.
Keywords :
semantic networks; space vehicles; complex spacecraft modelling; model composition; semantic composability criteria; Brushless motors; Computational modeling; Data models; Mathematical model; Semantics; Space vehicles; XML; modelling framework; semantic composability; spacecraft modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.305
Filename :
5636122
Link To Document :
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