Published March 14, 2023 | Version v3
Conference paper Open

A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems

  • 1. Eindhoven University of Technology
  • 2. Eindhoven University of Technology and Sioux Technologies
  • 3. Eindhoven University of Technology and Delft University of Technology


The increasing demands for motion control result in a situation where Linear Parameter-Varying (LPV) dynamics have to be taken into account. Inverse-model feedforward control for LPV motion systems is challenging, since the inverse of an LPV system is often dynamically dependent on the scheduling sequence. The aim of this paper is to develop an identification approach that directly identifies dynamically scheduled feedforward controllers for LPV motion systems from data. In this paper, the feedforward controller is parameterized in basis functions, similar to, e.g., mass-acceleration feedforward, and is identified by a kernel-based approach such that the parameter dependency for LPV motion systems is addressed. The resulting feedforward includes dynamic dependence and is learned accurately. The developed framework is validated on an example.



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IMOCO4.E – Intelligent Motion Control under Industry 4.E 101007311
European Commission