Modern hydraulic excavators are complex mechatronic systems. To meet the high requirements regarding machine performance, efficiency and robustness, a model-based development process is essential. Based on detailed simulation models, statements on the expected system behavior can be made at an early stage of development. However, in order to achieve realistic and reliable simulation results, a properly realistic control of the machine model must be ensured. In the course of this cooperation project, predictive driver models based on an interpretation of the driver as a model predictive control are developed. In addition to its simulative use in the test vehicle, the driver model is also to be used for automated running of predefined cycles in order to reduce the time and effort involved in commissioning and to obtain reproducible measurement data.
- “Nonlinear Model Predictive Control of a Hydraulic Excavator using Hammerstein Models”, IEEE International Conference on Automation, Robotics and Applications (ICARA), Queenstown, New Zealand, 2015, pp. 557-562, doi:10.1109/ICARA.2015.7081208 ,
- “A predictive driver model for the virtual excavator”, International Conference on Control, Automation, Robotics & Vision (ICARCV), Singapore, 2014, pp. 187-192, doi:10.1109/ICARCV.2014.7064302 ,