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Fuzzy modelling and tracking control of nonlinear systems

โœ Scribed by F. Mei; Z. Man; T. Nguyen

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
643 KB
Volume
33
Category
Article
ISSN
0895-7177

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โœฆ Synopsis

This paper presents a fuzzy modelling and tracking control methodology for complex systems by combining the merits of fuzzy logic and conventional linear control theory. Here, fuzzy logic is used to formulate a system model by aggregating a set of llnearlzed local subsystems which identify the nonlinear system approximately, and a fuzzy feedback controller ia designed by use of conventional linear feedback theory and fuzzy reasoning. A simulation example of 8 one-link rigid robotic manipulator ia given to demonstrate the validity of the proposed control scheme. It is shown that the fuzzy model can be eimplilkd, and good tracking control performance can be achiied by choosing appropriate fuzzy roles.

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