TY - GEN
T1 - Study on multidisciplinary nested modeling and parallel simulation
AU - Xing, Qiujun
AU - Jiao, Zongxia
PY - 2011
Y1 - 2011
N2 - This paper aims at designing a modeling approach for multidisciplinary integration complex product. A new ideology is introduced, that each subject is taken like a subsystem, using a nested structure as its autonomous model, and each autonomy model paralleling its counterparts. The dynamic autonomy model can be expressed in a universal format, with the Parameters Pool (PP) and the Coupling Estimate (CE) two items, reflecting parameters' alteration and the total impact of other interaction's subjects, respectively. The model of PP and CE nested in the autonomy model. All state variables are shared through the data exchange interface between each subsystems, and the coupling of interdisciplinary is implemented by PP and CE. Each subject has an enable coefficient for its working state, which can implicate single subject real-time plugging and pulling, such as systems change during hardware-in-the-loop- simulation and random noise. Also, this modeling approach can be easily used for multi-disciplinary, distributed integration platform. Two examples are provided to check its accuracy and illustrate its application.
AB - This paper aims at designing a modeling approach for multidisciplinary integration complex product. A new ideology is introduced, that each subject is taken like a subsystem, using a nested structure as its autonomous model, and each autonomy model paralleling its counterparts. The dynamic autonomy model can be expressed in a universal format, with the Parameters Pool (PP) and the Coupling Estimate (CE) two items, reflecting parameters' alteration and the total impact of other interaction's subjects, respectively. The model of PP and CE nested in the autonomy model. All state variables are shared through the data exchange interface between each subsystems, and the coupling of interdisciplinary is implemented by PP and CE. Each subject has an enable coefficient for its working state, which can implicate single subject real-time plugging and pulling, such as systems change during hardware-in-the-loop- simulation and random noise. Also, this modeling approach can be easily used for multi-disciplinary, distributed integration platform. Two examples are provided to check its accuracy and illustrate its application.
UR - https://www.scopus.com/pages/publications/80052253948
U2 - 10.1109/ICIEA.2011.5975819
DO - 10.1109/ICIEA.2011.5975819
M3 - 会议稿件
AN - SCOPUS:80052253948
SN - 9781424487554
T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
SP - 1459
EP - 1463
BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Y2 - 21 June 2011 through 23 June 2011
ER -