Unlocking Surface Constraints through Integrated Operation : A Production Network-to-Process Facility Coupling Method

2019 ◽  
Author(s):  
Sarjono Tasi Antoneus ◽  
Feroney Serbini ◽  
Ammar Mohamad Azili ◽  
Muhammad Firdaus Hassan ◽  
Raja Zuhaili Aimran Raja Zainal Raffik ◽  
...  
Keyword(s):  
Coupling Method ◽  
Production Network ◽  
Integrated Operation ◽  
Surface Constraints

Vibration prediction based on the coupling method of half-train model and 3D refined finite element ground model

2021 ◽  
Vol 134 ◽  
pp. 104133
Author(s):  
Bitao Wu ◽  
Yuanlai Zeng ◽  
Zhenwei Zhou ◽  
Gang Wu ◽  
Huaxi Lu
Keyword(s):  
Finite Element ◽  
Coupling Method ◽  
Ground Model ◽  
Vibration Prediction

scholarly journals Explicit parallel co-simulation approach: analysis and improved coupling method based on H-infinity synthesis

2021 ◽  
Author(s):  
Weitao Chen ◽  
Shenhai Ran ◽  
Canhui Wu ◽  
Bengt Jacobson
Keyword(s):  
Frequency Domain ◽  
Wide Frequency Range ◽  
Coupling Method ◽  
Sampled Data ◽  
H Infinity ◽  
First Case ◽  
Communication Step ◽  
Coupling Variables ◽  
The Stability ◽  
Stability And Accuracy

AbstractCo-simulation is widely used in the industry for the simulation of multidomain systems. Because the coupling variables cannot be communicated continuously, the co-simulation results can be unstable and inaccurate, especially when an explicit parallel approach is applied. To address this issue, new coupling methods to improve the stability and accuracy have been developed in recent years. However, the assessment of their performance is sometimes not straightforward or is even impossible owing to the case-dependent effect. The selection of the coupling method and its tuning cannot be performed before running the co-simulation, especially with a time-varying system.In this work, the co-simulation system is analyzed in the frequency domain as a sampled-data interconnection. Then a new coupling method based on the H-infinity synthesis is developed. The method intends to reconstruct the coupling variable by adding a compensator and smoother at the interface and to minimize the error from the sample-hold process. A convergence analysis in the frequency domain shows that the coupling error can be reduced in a wide frequency range, which implies good robustness. The new method is verified using two co-simulation cases. The first case is a dual mass–spring–damper system with random parameters and the second case is a co-simulation of a multibody dynamic (MBD) vehicle model and an electric power-assisted steering (EPAS) system model. Experimental results show that the method can improve the stability and accuracy, which enables a larger communication step to speed up the explicit parallel co-simulation.

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