Conference article

Development in semi-conductor production and the control of static converters leads to an increase use of these devices in classical electrical motor control application. But; the simulation of these elements in a complete system involves longer computation time in order to take into account the impact of switching on the global system. Using average models to simulate them brings a drastic decrease of computation time. Such models do not take into account switching. They are a good compromise between complexity; computing time and acceptable accuracy at a system level. Even if the method to build these models is well identified; it still requires a lot of manipulation to get from the very structure description to the simulation code. This paper deals with a method that automates the average modeling of power electronic converter. The associated tool prototype (AMG) that has been implemented is also presented and some simulation results are shown using the Imagine.Lab AMESim[1] and its Modelica Platform.

Code generation; average model; power electronics; Imagine.Lab AMESim