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Speed Control of Induction Motor using Fuzzy Rule Base

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 33 - Number 5
Year of Publication: 2011
D. D. Neema
R. N. Patel
A. S. Thoke

D D Neema, R N Patel and A S Thoke. Article: Speed Control of Induction Motor using Fuzzy Rule Base. International Journal of Computer Applications 33(5):21-29, November 2011. Full text available. BibTeX

	author = {D. D. Neema and R. N. Patel and A. S. Thoke},
	title = {Article: Speed Control of Induction Motor using Fuzzy Rule Base},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {33},
	number = {5},
	pages = {21-29},
	month = {November},
	note = {Full text available}


The induction motors are characterized by complex, highly non-linear and time-varying dynamics, and hence their speed control is a challenging engineering problem. The advent of vector control techniques has partially solved induction motor control problems, but they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. By exploiting the fuzzy logic structure of the controller, heuristic knowledge is incorporated into the design, resulting in a non-linear controller with improved large signal performance over linear PI controllers. This paper proposes a novel design procedure for speed control of induction motor using fuzzy logic controller (FLC). The input to the controller is error and change in error and output of the controller is torque producing component of current, applied for the speed control of an induction motor. The effectiveness of the controller is demonstrated on the 1 hp three phase induction motor using DSP 2407 for different operating conditions of the drive system.


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