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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sung-Kyung Hong Langari, R. May, D. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA (Sung-Kyung Hong) |
| Abstract | The paper deals with the control of a levitated object with position dependent nonlinearity. The authors applied fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. They represented the nonlinear magnetic bearing by the Takagi-Sugeno-Kang (TSK) fuzzy model, in which the 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. |
| Starting Page | 90 |
| Ending Page | 95 |
| File Size | 504074 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780340787 |
| DOI | 10.1109/NAFIPS.1997.624017 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-09-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Control systems Magnetic levitation Nonlinear control systems Fuzzy control Sliding mode control Force control Magnetic forces Open loop systems Intelligent robots |
| Content Type | Text |
| Resource Type | Article |
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