Model predictive parameter and state estimation and optimal sensor placement (B08)

• Subject Area: Mathematics
• Term: from 2015 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 174223256

The crucial challenge for the 3rd phase is the incorporation of uncertainties such as the thermal influence of fluid coolants and chips during the machining processes. These uncertainties can be characterized as highly varying in space and time and typically not normally distributed. Subproject B08 will address this added difficulty in predicting the TCP displacement using modern and efficient methods of uncertainty quantification, combined with novel regularization techniques.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 96: Thermo-Energetic Design of Machine Tools - A Systemic Approach to Solve the Conflict between Power Efficiency, Accuracy and Productivity Demonstrated at the Example of Machining Production
• Applicant Institution: Technische Universität Dresden
• Project Heads: Professor Dr. Roland Herzog; Professor Dr. Martin Stoll