Open AccessAdaptive Neuro Fuzzy Observer Estimator for Servo Motor
Author(s) -
Nunavath Mangilal*,
Mahesh Srinivasan
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e5763.018520
Subject(s) - control theory (sociology) , computer science , fuzzy logic , servomechanism , servo drive , control engineering , servo , dc motor , servomotor , observer (physics) , artificial neural network , engineering , artificial intelligence , control (management) , electrical engineering , physics , quantum mechanics
The servo engine is really an assembly of 4 things: a gear reduction product, a typical DC motor, a position sensing unit along with a management circuit. The DC engine is actually associated with a gear mechanism that delivers comment to a position sensor that is mainly a potentiometer. The point of this research is to design a NFSC which could be applied to a DC servo motor based explanatory antenna locating system. To accomplish this, initial, a Fuzzy Logic Controller (FLC) was designed utilizing master information. Next, NFSC was designed dependent on the FLC algorithms by utilizing Neural Network (NN) figuring out how to tune the Fuzzy Logic (FL) rule base through hybrid training method.