Dynamic Model Predictive Control

Research output: Contribution to conferencePaper, not in proceeding

Abstract

In this paper an alternative approach to model predictive control is presented. In traditional MPC a finite horizon open loop optimal control problem is solved in each sampling instance. When uncertainties such as computational delays are present, one can encounter problems. We propose to parametrize the control sequence in each sampling instant in terms of a linear feedback controller, i.e. in each sample a dynamic feedback compensator is computed. Thus, if computational delays are present the control system runs in closed loop, decreasing the need for ad hoc solutions used in traditional MPC.

Details

Authors
  • Karl Mårtensson
  • Andreas Wernrud
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering

Keywords

  • MPC
Original languageEnglish
Publication statusPublished - 2008
Publication categoryResearch
Peer-reviewedYes
Event17th IFAC World Congress, 2008 - Seoul, Korea, Seoul, Korea, Democratic People's Republic of
Duration: 2008 Jul 62008 Jul 11
Conference number: 17

Conference

Conference17th IFAC World Congress, 2008
CountryKorea, Democratic People's Republic of
CitySeoul
Period2008/07/062008/07/11

Bibliographic note

key=mart_wern2008ifac

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