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   Torque-ripple minimisation in switched reluctance motors using a neuro-fuzzy control stategy   [View] 
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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
 Type   Members Only 
 Date   Last modified 2003-10-30 by Unknown