Adaptive Signal Management
Jörgen Svensson, Per Karlsson · Lund University Publications (Lund University) · 2003
This paper presents an adaptive signal management Modelica library, “SignalFlow”, interconnected with a C++ class library. The objective is to simplify the signal exchange in large simulation models based on modular designs, which should correspond to the signal flow for real applications by representing common networks as models with general interfaces. The library enables automatic configurations during simulation using dynamic vectors and has additionally functions for exchanging several types of signals in both continuous and discrete mode. The work is an outcome for enabling “plug and produce” capabilities in scalable distributed power system applications that is exemplified.