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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Norman Lang - , Technische Universität Chemnitz (Autor:in)
  • Jens Saak - , Technische Universität Chemnitz, Max Planck Institute for Dynamics of Complex Technical Systems (Autor:in)
  • Peter Benner - , Technische Universität Chemnitz, Max Planck Institute for Dynamics of Complex Technical Systems (Autor:in)
  • Steffen Ihlenfeldt - , Professur für Werkzeugmaschinenentwicklung und adaptive Steuerungen, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Steffen Nestmann - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Klaus Schädlich - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)343-349
Seitenumfang7
FachzeitschriftProduction engineering
Jahrgang9
Ausgabenummer3
PublikationsstatusVeröffentlicht - 24 Aug. 2015
Peer-Review-StatusJa

Schlagworte

Schlagwörter

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