Modeling and Identification
The modelling of electric drive systems is one of our central competences. Physical models are used to describe the system mathematically. Identification algorithms are used to determine the model parameters with the help of real measurement data from the test bench.
A new, very detailed non-linear modelling approach also considers effects such as:
- Iron losses
- Copper losses
- Friction and turbulence losses
- Inverter losses
The dependence of the stator and rotor temperature is also modeled.
The models are used for the simulation of the motor behaviour as well as for the model-based controller design. The exact consideration of the non-linear effects can significantly increase the controller performance compared to the state of the art.