Modeling and robust control of a magnetic bearing system

Jia Shing Sheu, Tyng Ych Wu, Jyh Ching Juang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Active magnetic bearing technology offers a number of advantages over conventional bearings including high speed, low power losses, and low maintenance costs. These benefits can, however, only be achieved by advanced signal processing and control. In this paper, a systematic approach is used to model and control a magnetic bearing system. An analytic model of the magnetic bearing system is derived whose parameters are then optimized to correlate with the measurement data. The control system is then designed based upon the model and the associated modeling error. A multi-objective control design method that accounts for a set of robust stability and performance requirements is used to design a controller, which is then implemented using a digital signal processor board. The design is verified to improve the performance of the existing system.

Original languageEnglish
Pages (from-to)139-148
Number of pages10
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume22
Issue number2
DOIs
Publication statusPublished - 1999 Jan 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Modeling and robust control of a magnetic bearing system'. Together they form a unique fingerprint.

Cite this