The operation of switched reluctance motor(SRM) requires a position sensor

but the position sensors will increase the system cost and complexity and reduce the reliability.Thus

carrying out rotor position estimation and making the SRM run independently from the position sensors is worthwhile researching.According to the feature of neural network which can approach any nonlinear function precisely

a rotor position estimation model based on fuzzy logic control model and neural network theory was established.Moreover

on the MATLAB/Simulink platform

the SRM rotor position estimation system with 60 k W and 6/4 pole was simulated.The simulation results show that

this estimation system can accurately predict the position angle of the SRM rotor

with an error of 2° and mean square error of 0.714 4.Furthermore

this estimation system was used to control the SRM

and the results show the motor's three-phase current output is uniform

the torque ripple is small

and the whole operation process is stable.