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Basic of SR Motor
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A neural network can be trained to learn the non-linear relationship between phase current, rotor position and electromagnetic torque of a SR motor. After the training process is accomplished and the neural network has successfully learned the relationship, the neural network can be used as a model of the SR motor in order to produce the optimum phase current that minimises torque ripple.
Torque Ripple Minimisation of Switched Reluctance Motor - Neural Networks Methods
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