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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1492

Title: A Comparative Study of P-I, I-P, Fuzzy and Neuro-Fuzzy Controllers for Speed Control of DC Motor Drive
Authors: Khuntia, S R
Mohanty, K B
Panda, S
Ardil, C
Keywords: Proportional-Integral (P-I) controller
Integral-Proportional (I-P) controller
Fuzzy logic control
Neuro-fuzzy
Speed control
DC Motor drive
Issue Date: 2009
Citation: International Journal of Electrical Systems Science and Engineering 1:1 2009
Abstract: This paper present a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is Proportional- Integral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives.
Description: Copyright for this article belongs to World Academy of Science, Engineering and Technology
URI: http://hdl.handle.net/2080/1492
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