A model predictive control method for a high-speed magnetic actuator

Mukai Masakazu, Seikoba Suguru, Kawabe Taketoshi

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

3 Citations (Scopus)

Abstract

This paper considers a novel model predictive control method for a high-speed magnetic actuator. The actuator consists of two opposing electromagnets and an armature is suspended between them. The armature reciprocates between the two magnets. The armature is suspended by the springs with a large spring rate, enabling it to move at high speed. A difficulty is that push-pull control force for the armature is not available from the electromagnets. Additionally, magnetic force is effective only when the armature is very close to the pulling magnet. To overcome those difficulties, we propose a controller using model predictive control method with a fixed compensator. Based on optimality, the model predictive controller generates a target trajectory with searching for the terminal time, and a fixed compensator is attached in order to improve robustness drastically.

Original languageEnglish
Title of host publicationProceedings of the 26th Chinese Control Conference, CCC 2007
Pages623-626
Number of pages4
DOIs
Publication statusPublished - Dec 1 2007
Event26th Chinese Control Conference, CCC 2007 - Zhangjiajie, China
Duration: Jul 26 2007Jul 31 2007

Publication series

NameProceedings of the 26th Chinese Control Conference, CCC 2007

Other

Other26th Chinese Control Conference, CCC 2007
CountryChina
CityZhangjiajie
Period7/26/077/31/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

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