Experiments in fuzzy logic based control of a magnetic bearing system Conference Paper

abstract

• This paper deals with the control of a levitated object with position dependent nonlinearity. We applied the fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. We represented the nonlinear magnetic bearing by the Takagi-Sugeno-Kang(TSK) fuzzy model, where nonlinear global model is approximated by a set of linear local models. Then a model-based fuzzy controller, the so-called parallel distributed compensation(PDC), is employed. Experimental results demonstrate that the controller provides excellent compensation for unstable/nonlinear characteristics of the magnetic bearing system and maximizes the controller's valid region of operation, while guaranteeing pre-specified transient performance.

name of conference

• 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297)

authors

• Langari, Gholamreza

published proceedings

• 1997 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS

author list (cited authors)

• Hong, S. K., Langari, R., & May, D.

citation count

• 2

complete list of authors

• Hong, SK||Langari, R||May, D

publication date

• January 1997

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics
• 46 Information And Computing Sciences
• 4605 Data Management And Data Science

Digital Object Identifier (DOI)

• 10.1109/NAFIPS.1997.624017

International Standard Book Number (ISBN) 10

• 0-7803-4078-7

start page

• 90

end page

• 95

URL

• http://dx.doi.org/10.1109/nafips.1997.624017