Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling

This dataset belongs to the Open Access publication "Increasing dynamic accuracy of machine tools using predictive feedforward optimization with hybrid modeling" (doi: 10.1016/j.rcim.2025.103137) A detailed description of the setup can be found in the publication. Feedback controllers from frequency inverter: PI velocity controller with Kp = 0.035 [Nm/(rad/s)], Tn = 2.6 [ms].

P position controller with Kp = 35 [1/s]. The dataset contains the following folders (Feel free to contact the dataset owner if you have any questions about the dataset.): Identification measurements for identification of discrepancy model with different constant velocities as reference, and velocity sweeps for identification in frequency domain. Validation\energy_consumption measured energy consumption on the test bench of different feedforward schemes, quantified by direct current (DC) power Validation\multi-axis butterfly contour multi-axis tracking experiments comparing different feedforward schemes, the used butterfly G-code is also provided Validation\sensitivity analysis sensitivity analysis of the proposed MPFFC scheme against parametric model uncertainty Validation\tracking single axis (const velocity) single-axis tracking experiments at (unseen) consant velocities Validation\tracking single axis (transient) single-axis tracking experiments demonstrating transient behavior