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http://dx.doi.org/10.5916/jkosme.2014.38.6.710

Fuzzy-based adaptive controller for nonlinear systems  

Lee, Yun-Hyung (Education & Research Team, Korea Institute of Maritime and fisheries Technology)
Yun, Hak-Chin (Engine Design Team, STX Heavy Industry Co., Ltd.)
Jin, Gang-Gyoo (Division of IT, Korea Maritime and Ocean University)
So, Myung-Ok (Division of Marine Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.38, no.6, 2014 , pp. 710-715 More about this Journal
Abstract
This paper investigates the design scheme of fuzzy-based adaptive controller to give adaptability for controlling nonlinear systems. For this, a nonlinear system is linearized by the several subsystems depending on the operating point or parameter changes. Then, the sub-controller is designed by linear control scheme for each subsystem and the sub-controllers are fused with each gain of sub-controllers using fuzzy rules. The proposed method is applied to an inverted pole system which has structurally instability and nonlinearity, and simulation works are shown to illustrate the effectiveness by comparison with the interpolation-based adaptive Controller.
Keywords
Subsystem; Sub-controller; Fuzzy-based adaptive controller; Nonlinear inverted pole system;
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Times Cited By KSCI : 1  (Citation Analysis)
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