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

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...

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Bibliographic Details
Published in:	2010 International Conference on Computational Intelligence and Communication Networks pp. 93 - 98
Main Authors:	Pavankumar, S v s r, Krishnaveni, S, Venugopal, Y B, Babu, Y S K
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-11-2010
Subjects:	DC motors Driver circuits Integrated circuit modeling Load modeling Mathematical model Neuro-Fuzzy Controller PI Controller SEDM Simulation Velocity control
Online Access:	Get full text
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Summary:	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.
ISBN:	9781424486533 142448653X
DOI:	10.1109/CICN.2010.132