Messung am Institut ELSYS
Foto: EnCN Kurt Fuchs

Modelling and simulation of an electric drive train, development of robust control concepts, model-based holistic optimization of systems

The stated aim of the research is to demonstrate the potential for energy savings and enhanced dynamics by means of optimized control achieved with model-based predictive control (MPC) for electric drive systems on the one hand and, on the other hand, to operate downstream systems (e.g. pumps) at their ideal operating point without any additional sensors. In addition, the intention is to present in detail beneficial properties that are discovered by means of a combination of modelling and consideration of the system as a whole.  

Model-based predictive control has already been used successfully in the chemical process industry for decades. However, due to the high sampling rates and the large computing capacity that is therefore required, its use in power electronics systems and propulsion technology is new and is currently being researched. It is especially important that further improvements are sought with regard to modelling that takes account of realistic assumptions. This involves application-oriented research, which makes use of the smart control and observer models, performs the transition to application and demonstrates the potentials and limitations.

The detailed modelling of the system to be controlled forms a key aspect of model-based predictive control and system optimization; the results of research carried out at the institute can be referred to in this regard. In particular, the loss models from previous research projects, which have already been verified for a range of machine types, are used for this purpose. This makes it possible to include the operating losses in the quality criterion for model-based predictive control and to minimize it in a targeted manner. Alongside the machine models, converter models are also available with a range of detail levels, which can be used to attempt to reduce converter losses within the power semiconductors in an application-oriented manner. In this regard, the modelling of the complete control path also takes account of mechanically coupled systems, such as pump systems. This allows pressure or flow control to be achieved without the need for any additional sensors.

 

 

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