標題: Design of a new fuzzy suction controller using fuzzy modeling for nonlinear boundary layer
作者: Tu, KY
Lee, TT
Wang, CH
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: fuzzy logic controllers;fuzzy modeling;motion control
公開日期: 1-十月-2005
摘要: There are two types of fuzzy modeling: 1) imitating an expert experiment or fulfilling an engineering knowledge, and 2) modeling a complex or unknown system. In this paper, based on the first type of fuzzy modeling, a new fuzzy suction controller (NFSC) is proposed using its linguistic rules to design nonlinear boundary layer. Two kinds of nonlinear boundary layers are discussed. The first kind is designed by three rules derived according to a new interpretation of the switching conditions for a suction controller such that the new controller reduces chattering and spends less energy than a suction controller does. A design procedure summarizes the NFSC design. The second kind of nonlinear boundary layer is the linguistic rules designed to have sliding sectors to control a mobile robot for trajectory tracking. The discussion emphasizes the advantage of nonlinear boundary layers, compared with traditional suction controllers usually using linear boundary. In addition, the proposed NFSC provides a flexible way to adjust the controller functions using linguistic rules based on the first type of fuzzy modeling.
URI: http://dx.doi.org/10.1109/TFUZZ.2005.856564
http://hdl.handle.net/11536/13229
ISSN: 1063-6706
DOI: 10.1109/TFUZZ.2005.856564
期刊: IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume: 13
Issue: 5
起始頁: 605
結束頁: 616
顯示於類別:期刊論文


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