Explicit parallel co-simulation approach: analysis and improved coupling method based on H-infinity synthesis
Journal article, 2021

Co-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.


Weitao Chen

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Shenhai Ran

Volvo Cars

Canhui Wu

Fraunhofer Institute for Mechanics of Materials (Fraunhofer IWM)

Bengt J H Jacobson

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Multibody System Dynamics

1384-5640 (ISSN) 1573-272X (eISSN)

Vol. In press

Virtual Architecture for Development and Verification of Chassis Mechatronic Systems

European Commission (EC), 2016-07-01 -- 2022-06-30.

Volvo Cars, 2016-07-01 -- 2022-06-30.

Subject Categories

Applied Mechanics

Control Engineering



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4/7/2021 8