Towards the identification of heat induction in chip removing processes via an optimal control approach: A simplified stationary test case for drilling processes

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Norman Lang - , Chemnitz University of Technology (Author)
  • Jens Saak - , Chemnitz University of Technology, Max Planck Institute for Dynamics of Complex Technical Systems (Author)
  • Peter Benner - , Chemnitz University of Technology, Max Planck Institute for Dynamics of Complex Technical Systems (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Steffen Nestmann - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Klaus Schädlich - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)

Abstract

This paper presents a linear-quadratic regulator (LQR) approach for solving inverse heat conduction problems (IHCPs) arising in production processes like chip removing or drilling. The inaccessibility of the processed area does not allow the measuring of the induced temperature. Hence the reconstruction of the heat source based on given measurements at accessible regions becomes necessary. Therefore, a short insight into the standard treatment of an IHCP and the related LQR design is provided. The main challenge in applying LQR control to the IHCP is to solve the differential Riccati equation. Here, a model order reduction approach is used in order to reduce the system dimension. The numerical results will show the accuracy of the approach for a problem based on data given by practical measurements.

Details

Original languageEnglish
Pages (from-to)343-349
Number of pages7
JournalProduction engineering
Volume9
Issue number3
Publication statusPublished - 24 Aug 2015
Peer-reviewedYes

Keywords

Keywords

  • Differential Riccati equation, Dynamical linear systems, Inverse heat conduction, Optimal control