Solving Strategy for Repetitious Simulation of Multi-domain Physical System Based on Modelica  

作　　者：JIANG Zhan-si WU Yi-zhong CHEN Li-ping 

机构地区：[1]CAD Center, Department of Mechanical Science ＆ Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

出　　处：《Computer Aided Drafting,Design and Manufacturing》2007年第2期58-70,共13页计算机辅助绘图设计与制造（英文版）

基　　金：Supported by the National High Technology Research and Development Program (863 Program) of China (2006AA04Z121);the National Natural Science Foundation of China (50775084)

摘　　要：Repetitious simulation after modifying parameters of multi-domain physical system based on Modelica often appears in model experiment and optimization design. At present, the solvers based on Modelica need calculate all the coupled blocks during every simulation run after updating parameters. Based on discussing scale decomposition methods of simulation model, subdivision solving strategy and minimum solving strategy are put forward to improve the efficiency of repetitious simulation, by which the numerical solution of the simulation model can be achieved by only calculating the solving sequence influenced by altered parameters. A simplified model of aircraft is used to demonstrate the efficiency of the strategies presented.

关 键 词：multi-domain physical system MODELICA SIMULATION subdivision solving minimum solving strategy 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]