E.P. Kennedy, M. Condon, and J. Dowling (Ireland)
Switched reluctance motors, Torque-ripple minimisation, Neuro-fuzzy control, Simulation
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. Simulation results confirm a very significant reduction in the torque ripple.
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