Tensor product model transformation based friction compensation of a mechatronic system

Béla Takarics, Péter Korondi, Péter Baranyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex combination of Linear Time Invariant (LTI) systems. The main advantage of the TP model transformation is that it is executable in a straightforward way and the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The main contribution of this paper is that it represents the friction of a DC servo drive in TP model form, automatically designs LMI based controller for friction compensation. The reference signal compensation is also based on the TP model transformation. The results were simulated for speed control of the DC servo drive and were compared to other control techniques.

Original languageEnglish (US)
Title of host publicationINES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings
Pages259-264
Number of pages6
DOIs
StatePublished - 2010
Event14th International Conference on Intelligent Engineering Systems, INES 2010 - Las Palmas of Gran Canaria, Spain
Duration: May 5 2010May 7 2010

Publication series

NameINES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other14th International Conference on Intelligent Engineering Systems, INES 2010
Country/TerritorySpain
CityLas Palmas of Gran Canaria
Period5/5/105/7/10

Keywords

  • DC servo drive
  • Friction compensation
  • Non-linear system control
  • Simulation

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