Application of off-line model predictive control to pneumatic systems

Yuji Hayasaki, Shingo Nakashima, Yuji Wakasa, Yoshiki Mizukami, Kanya Tanaka

Research output: Contribution to journalConference article

Abstract

Pneumatic systems usually have not only nonlinearity but also hard limits on the control input and output. To cope with these property and constraints, an off-line model predictive control method is applied to a pneumatic system. Unlike standard model predictive control methods, this method can deal with systems that have relatively fast dynamics because the on-line computation is reduced by computing a sequence of feedback gains in advance. Experimental results show the effectiveness of the control method.

Original languageEnglish
Pages (from-to)813-818
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume37
Issue number12
DOIs
Publication statusPublished - 1 Jan 2004
Event2004 IFAC Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic Control Systems, PSYCO 2004 - Yokohama, Japan
Duration: 30 Aug 20041 Sep 2004

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Keywords

  • Linear matrix inequality
  • Model predictive control
  • Pneumatic systems

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