TK572 : Neural-Fuzzy Control of Electronic Throttle
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2014
Authors:
Mohammad Ghobakhloo [Author], Ali Akbarzadeh Kalat[Supervisor]
Abstarct: In this thesis practical Electronic Throttle system is studied. First, physical system is modeling in math equation , then parameters of modeling identified and modified by several exprements. In the following control demands reviewed and on this basis we design controllers that satisfy control demands. We use voltage baxse control in feedback and invers control by neural-fuzzy network in feedforward path.
Keywords:
#Identification #Modeling #Nonlinear System #Electronic Throttle #Neural-fuzzy network #Invers Control #Voltage baxse Control Link
Keeping place: Central Library of Shahrood University
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