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Direct Torque Control of Induction Motors using a Fuzzy Inference System for Reduced Ripple Torque and Current Limitation
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| Author(s) |
Julio C. Viola, Jose A. Restrepo, Victor M. Guzman, Maria I. Gimenez |
| Abstract |
In this work a Fuzzy Inference System is
employed for the control of a PWM based Direct Torque
Control (DTC), driving an induction machine, to reduce
ripple torque while limiting the current during start-up
or when the stator flux magnitude changes. The proposed
control scheme uses a Fuzzy Inference System to modulate
the stator voltage vector applied to the induction motor, in
magnitude and phase. This scheme allows for amplitude regulation
according to the requirements of ripple reduction or
stator current limitation. The proposed scheme performance
was analyzed using simulation programs written in the C
computer language and executed on a prototype system
called PLATAFORMA III, developed by the SIEP Group
at Universidad Sim´on Bol´ývar. |
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| Filename: | T5-124.pdf |
| Filesize: | 244.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2007-03-12 by System |
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