The Method about Stator Resistance Hybrid Intelligent Identification of Motorized Spindle
Zhang Li-xi · Journal of Shenyang Jianzhu University · 2013
In order to improve the precision of the stator resistance identification,and solve the influence of stator resistance change on the performance of the motorized spindle in direct torque control(DTC),based on artificial neural netw ork(ANN) and Case-Based Reasoning(CBR),a hybrid intelligent stator resistance identification method is introduced.The experiments are used to obtain the data needed by stator resistance identification and determined the relationship betw een main factors and the stator resistance.The simulation is used to prove the approach.The results confirm that the identification error is ± 0.005 Ω by using neural netw ork,but the identification error is ± 0.002 Ω by using ANN-CBR.Studies show hybrid intelligent method based on ANN-CBR can obtain higher recognition accuracy for the stator resistance.It is helpful to improve the performance of direct torque control.