Title :
Neural network implementation of a fuzzy logic controller
Author_Institution :
Inst. of Manage. & Eng., Padova Univ.
fDate :
12/1/1994 12:00:00 AM
Abstract :
Fuzzy logic is an attractive technique for plant control but suffers from a heavy computation burden. A solution to this problem is proposed here and consists of implementing a fuzzy logic controller in a neural network. The solution is applied to the speed control of a DC motor drive and is validated by experimental results
Keywords :
DC motor drives; control system synthesis; digital control; fuzzy control; machine control; machine testing; machine theory; neurocontrollers; power engineering computing; velocity control; DC motor drive; computation burden; fuzzy logic control; neural network; speed control; Choppers; Computer networks; Error correction; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Input variables; Neural networks; Velocity control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
