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Torque-ripple minimisation in switched reluctance motors using a neuro-fuzzy control stategy
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Author(s) |
E.P. Kennedy; M. Condon; J. Dowling |
Abstract |
A novel neuro-fuzzy control strategy for torque-ripple minimisation in switched reluctance motors is
presented. A compensating signal is added to the output of a PI controller in a current-regulated speed
control loop. The neuro-fuzzy compensator is trained offline using data obtained from the steady-state
operation of the switched reluctance motor. Simulation results confirm a very significant reduction in the
torque-ripple. |
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Filename: | EPE2003-PP0677 - Kennedy |
Filesize: | 479.8 KB |
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Type |
Members Only |
Date |
Last modified 2003-10-30 by Unknown |
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