On methods for automated modeling of dynamic systems with friction and their application to electro-mechanical throttles

Once dynamic process models are available, model-based analysis, design and testing methods can be applied. The availability of (semi)automated reliable identification methods that yield high quality models would greatly reduce engineering efforts and enhance the utilization of model-based applications in practice. In this paper, two novel semi-automated identification methods for systems with friction that utilize open-loop recorded data are presented. The methods are applied to modeling electro-mechanical throttles available as test stand. They are used in Hardware-in-the-Loop (HiL) simulation in context of developing motor control functions in automotive applications. The case study illustrates the effectiveness and efficiency of the proposed identification methods.