Design of Fuzzy Kalman Filter for Air-Gap Disturbance Attenuation of Magnetic Levitation System

Jeong Min Kang, Eun Tai Kim, Jin Bae Park, Tae Sung Yoon

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

Abstract

In this paper, a feedback controller using the fuzzy Kalman filter that attenuates air-gap disturbance in a magnetic levitation system is proposed. One of the core technology of the magnetic levitation system is a levitation control to maintain a constant air-gap. The magnetic levitation system which shows unsatisfactory performance under air-gap disturbance due to rail irregularities is modeled. Takagi-Sugeno fuzzy system is used for the modeling of a nonlinear magnetic levitation system, and the Kalman filter is utilized to improve the modeling results. In this sense the fuzzy Kalman filter is obtained. This approach can solve the problem by the conventional state-feedback control. Finally, the effectiveness of the proposed method is demonstrated by simulation.

Original languageEnglish
Title of host publication2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages793-797
Number of pages5
ISBN (Electronic)9781728133263
DOIs
Publication statusPublished - 2019 Apr
Event5th International Conference on Control, Automation and Robotics, ICCAR 2019 - Beijing, China
Duration: 2019 Apr 192019 Apr 22

Publication series

Name2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019

Conference

Conference5th International Conference on Control, Automation and Robotics, ICCAR 2019
CountryChina
CityBeijing
Period19/4/1919/4/22

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Kang, J. M., Kim, E. T., Park, J. B., & Yoon, T. S. (2019). Design of Fuzzy Kalman Filter for Air-Gap Disturbance Attenuation of Magnetic Levitation System. In 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 (pp. 793-797). [8813458] (2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAR.2019.8813458