Adaptive Neuro Fuzzy Observer Estimator for Servo Motor
Nunavath Mangilal1, M. Srinivasan2
1Nunavath Mangilal, Research Scholar, Dept. of Electrical and Electronics Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India.
2Dr. M. Srinivasan, Research Guide, Dept. of Electrical and Electronics Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4908-4911 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5763018520/2020©BEIESP | DOI: 10.35940/ijrte.E5763.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: ANFIS, Neural Network, Servo Motor.
Scope of the Article: Network Security Trust, & Privacy.