A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing

Kuan Yu Chen, Pi Cheng Tung, Mong Tao Tsai, Yi Hua Fan

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

This paper presents a design for a fuzzy gain tuning mechanism dealing with the problem of unbalanced vibration problem in an active magnetic bearing (AMB) system. For the purpose of enhancing the performance of the AMB system, we replace the conventional proportional-integral-derivative (PID) controller with a self-tuning fuzzy PID-type controller (FPIDC). The shaft displacement and the unbalanced forces of the rotor are evaluated by model-based observation. If there are model uncertainties in the rotor system or nonlinearities in the magnetic bearing system, this observer may not work well at any operating speed. A fuzzy gain tuner is added to adjust the actuating signal of the self-tuning FPIDC in order to overcome the disturbances and suppress the unbalancing vibration. The experimental results show that the proposed scheme allows for a remarkable improvement in reducing vibration in an unbalanced AMB system as well as demonstrate an efficient reduction in the shaft displacement of the rotor.

Original languageEnglish
Pages (from-to)8560-8570
Number of pages11
JournalExpert Systems with Applications
Volume36
Issue number4
DOIs
StatePublished - May 2009

Keywords

  • Active magnetic bearing
  • Fuzzy PID-type controller
  • Self-tuning mechanism
  • Unbalanced force observer

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