Influence of plant model variants for the automatic optimisation of control parameters

Designing controllers in a model based engineering environment has become more important in industrial applications. As the name already suggests, the model based design process depends strongly on the plant model and its quality as well as on the accuracy of the corresponding model parameters, which sometimes are estimated or even just guessed. The goal of this paper is to investigate the automation potentials of the model based design process, concretely in this paper the parametrization of two given cascaded controllers for a plant, which might vary over time or due to certain events. Transferring controller parametrization to a computer which is in contrast to a human engineer not sensible of the real life use cases, makes the plant model even more important. In this work we want to underline this point by a case study and provide some insights into the possibilities and limitations of automated parametrization of controllers during a model based design process for two cascaded controllers.