Abstract
Coupled problems result in very stiff problems whose char- acteristic parameters differ with several orders in magni- tude. For such complex problems, solving them monolithi- cally becomes prohibitive. Since nowadays there are op- timized solvers for particular problems, solving uncoupled problems becomes easy since each can be solved indepen- dently with its dedicated optimized tools. Therefore the co-simulation of the sub-problems solvers is encouraged. The design of the transmission coupling conditions between solvers plays a fundamental role. The current paper ap- plies the waveform relaxation methods for co-simulation of the finite element and circuit solvers by also investigating the contribution of higher order integration methods. The method is illustrated on a coupled finite element inductor and a boost converter and focuses on the comparison of the transmission coupling conditions based on the waveform iteration numbers between the two sub-solvers. We demon- strate that for lightly coupled systems the dynamic iterations between the sub-solvers depends much on the inter- nal integrators in individual sub-solvers whereas for tightly coupled systems it depends also to the kind of transmission coupling conditions.
Highlights
Coupled problems are modeled by very complex mathematical models with rate of change of some parameters differing with several orders of magnitude, in both the smallest and largest range of variations
The paper has focused on the application of the Waveform relaxation (WR) methods for co-simulation of field and circuit solvers with emphasis on two kind of the transmission coupling conditions (TCCs)
In addition to the VITCCs and the VI-Opt-0-TCCs, the VI-TCCs with the circuit solved by more optimized solver such as LTspice proves to be more efficient than other types of the VI-TCCs
Summary
Coupled problems are modeled by very complex mathematical models with rate of change of some parameters differing with several orders of magnitude, in both the smallest and largest range of variations. After sub-problems are formed, each one is modelled by a system of differential equation indexed by an iteration index which allows solving the sub-problems independently This decomposition results in various transmission coupling conditions (TCCs) at interface of the sub-systems. Conclusions and future perspectives are presented in the last section
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