A Neuro-fuzzy Based Speed Control of Separately Excited DC Motor

Author

Pavankumar, Singari V S R ; Krishnaveni, Sande ; Venugopal, Y.B. ; Babu, Y. Srinivasa Kishore

Author_Institution

Sch. of Electr. Eng., Vignan Univ., Vadlamudi, India

fYear

2010

fDate

26-28 Nov. 2010

Firstpage

93

Lastpage

98

Abstract

This paper presents the speed control of a separately excited dc motor using Neuro-Fuzzy controller. The controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS), which aims at reducing the peak overshoot, settling time of a DC Motor. In the first stage, PI controller is used to control the speed of DC Motor. From the results of PI controller, the training data is taken to design the ANFIS speed and current controllers. The simulation results show that Neuro-Fuzzy controller gives better performance compared to PI controller.

Keywords

DC motors; PI control; control system synthesis; electric current control; fuzzy control; fuzzy reasoning; neurocontrollers; velocity control; ANFIS current controller; ANFIS speed control; PI controller; adaptive neuro-fuzzy inference system; neuro-fuzzy controller; peak overshoot; separately excited dc motor; settling time; training data; Neuro-Fuzzy Controller; PI Controller; SEDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2010 International Conference on

Conference_Location

Bhopal

Print_ISBN

978-1-4244-8653-3

Electronic_ISBN

978-0-7695-4254-6

Type

conf

DOI

10.1109/CICN.2010.132

Filename

5701944