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Back-stepping control of switched reluctance motor with artificial neural network based flux estimator

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The paper presents a new approach to the speed control of a switched reluctance motors (SRM) is that using a back-stepping controller combining with an artificial neuron network based flux estimator. The nonlinear mathematical model of switched reluctance motor (SRM) is established and the back-stepping control strategy is applied to control SRM. The ANN will be used to estimate the flux of the motor instead of approximated model or experimental values. |

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