The speed control of DC servo motor with proportional integral, fuzzy logic and adaptive neuro-fuzzy inference systems

Authors:
Ismail Temiz;Mehmet Akar
Affiliations:
Electrical Department, Marmara University Technical Education faculty, Istanbul, Turkey;Electric Programme, Gaziosmanpasa University, Tokat, Turkey
Venue:
AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
Year:
2007

Citing 2
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Abstract

In this study DC servo motor's mathematical model and equations were extracted for solving the speed control problem. There were three different methods used for controlling the speed. It was created simulation model at the Matlab programme and implemented proportional-integral, fuzzy and adaptive neuro fuzzy inference system controllers respectively while it was working variable conditions. At the servo motor application it is expected that no overshoot, settling reference value quickly and minimum influence on the system stability.