NDLI: An indirect adaptive fuzzy sliding-mode control for decoupled nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Dowoo Kim Haiwon Yang Soonchan Hong
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Daeduk Coll., Taejon, South Korea (Dowoo Kim)
Abstract	In this paper, a decoupled fuzzy sliding-mode control design scheme is presented through width adaptation for a class of fourth-order nonlinear systems. Each subsystem, which is decoupled into two second-order systems, is said to have main and sub control purpose. Two sliding surfaces are constructed through the state variables of the decoupled subsystem. We define main and sub target condition for these sliding surfaces, and introduce an intermediate variable from the sub sliding surface condition. The proposed adaptation law, which results from the indirect adaptive approach, is used to appropriately determine the width of the unknown system variables. And the membership functions in the THEN part will vary with the width adaptation. An adaptive law is then used to tune the width in the THEN part to appropriately determine the distribution of each membership function. The main advantage of the proposed method is that the structure of fuzzy controller dose not need to be changed while using a common design procedure and the computing time may be reduced considerably. Finally, a nonlinear system simulation example is shown to verify the effectiveness of the proposed adaptive fuzzy-sliding mode controller.
Starting Page	72
Ending Page	77
File Size	312674
Page Count	6
File Format	PDF
ISBN	078037729X
DOI	10.1109/CCA.2003.1223263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-25
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Fuzzy control Fuzzy systems Sliding mode control Nonlinear systems Control systems Stability Control system synthesis Fuzzy neural networks
Content Type	Text
Resource Type	Article

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