NDLI: Affined-type Neural-Fuzzy Gap Control of Electromagnetic Suspension Systems

Content Provider	IEEE Xplore Digital Library
Author	Shinq-Jen Wu Cheng-Tao Wu
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Da-Yeh Univ. (Shinq-Jen Wu; Cheng-Tao Wu)
Abstract	Electromagnetic suspension (EMS) systems are highly nonlinear, especially for current-controlled EMS, which is not only nonlinear to system states abut also to system inputs. And hence, theoretically approach to derive T-S fuzzy system is unsuitable. In this work, we use self-organizing neural-fuzzy technique to obtain affine-TS fuzzy models for both voltage-and current-controlled EMS systems. Based on these two models, affine-type optimal fuzzy controls for these two highly nonlinear systems are derived. The control performance and robustness to external disturbance are demonstrated and are compared with linear type. Since affine T-S fuzzy model can provide one more adjustable parameter for neural-fuzzy modelling, the derived affine TS-based controller could have better performance than linear type as system complexity increases. This phenomena obviously exists in simulation for current-controlled EMS systems
Starting Page	173
Ending Page	178
File Size	272375
Page Count	6
File Format	PDF
ISBN	1424403901
ISSN	1553572X
DOI	10.1109/IECON.2006.347487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Fuzzy systems Medical services Fuzzy control Magnetic levitation Nonlinear systems Sliding mode control Voltage Nonlinear control systems Mathematical model
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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