Fuzzy Control of a Direct Current Motor System and Stability Analysis
Author(s) -
Euntai Kim,
Heejin Lee,
Dongyon Kim
Publication year - 1999
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1883-8014
pISSN - 1343-0130
DOI - 10.20965/jaciii.1999.p0515
Subject(s) - fuzzy logic , computer science , control theory (sociology) , dc motor , fuzzy control system , stability (learning theory) , controller (irrigation) , control (management) , control system , neuro fuzzy , control engineering , artificial intelligence , machine learning , engineering , electrical engineering , agronomy , biology
One of the most common ways of driving electromechanical systems is through the use of a DC motor. In this paper, fuzzy control methodology for a DC motor system using a singleton fuzzy logic controller (FLC) is proposed. As opposed to conventional works, fuzzy control methodology proposed here is guaranteed to be asymptotically stable on the whole. Finally, the validity of the suggested methodology is highlighted via an illustrative example.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom