A new approach for the position sensorless control of the switched reluctance motor（SRM） using dynamic fuzzy neural network（D-FNN） is presented.D-FNN establishes the nonlinear mapping with the input based on the winding line current and flux linkage and the output based on the angle of the rotor position.When training is completed

D-FNN output results replace the angle signal of position sensor and realize the SRM position sensorless operation.The simulation and experimental results show that there is tiny error of switching signals between estimation and reality.The SRM can operate with little torque fluctuation and slight speed vibration.