NDLI: Control law partitioning via fuzzy logic control

Content Provider	IEEE Xplore Digital Library
Author	Van Cleave, D.W. Rattan, K.S.
Copyright Year	2002
Description	Author affiliation: Inf. Directorate, Air Force Res. Lab., Wright-Patterson AFB, OH, USA (Van Cleave, D.W.)
Abstract	Control law partitioning is a widely used concept that incorporates a mathematical model of the plant into the control system. This is both an advantage and disadvantage. With an accurate model, the system control is much more robust and easy to manage. However, with a complex nonlinear system, an accurate mathematical model can be very difficult to obtain. A fuzzy logic controller can be developed that makes use of empirically derived data thereby accurately modeling the plant without the necessity of a mathematical model. Tuning such a controller to the empirical data can be problematic, so a tuning algorithm is used to adjust the controller parameters for optimal performance. In this paper, a fourth-order system is used as a demonstration plant, a fuzzy logic controller is developed using a very fast offline tuning algorithm, and the performance of the resulting controller is examined.
Sponsorship	IEEE Syst., Man & Cybernetics Soc
Starting Page	572
Ending Page	577
File Size	494668
Page Count	6
File Format	PDF
ISBN	0780374614
DOI	10.1109/NAFIPS.2002.1018125
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Mathematical model Control systems Control system synthesis Medical control systems Fuzzy systems Neural networks Nonlinear systems Nonlinear control systems Force control
Content Type	Text
Resource Type	Article

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