The research on hybrid drive and control technique of high-speed motorized spindle based on adaptive fuzzy neural network control

Abstract

A hybrid drive and control technique is proposed for high-speed motorized spindle system. The proposed control technique enjoys the advantages of vector control and direct torque control and avoids the implementation difficulties of the two control methods. In particular, the control system includes an optimized switching table based on adaptive fuzzy neural network control which can prevent the system from the high level of torque ripple and nonsinusoidal current waveforms. A simulation model of the spindle’s hybrid drive and control system is constructed in MATLAB/Simulink, and then the related experiments are carried out on a high-speed motorized spindle whose rated speed is 15,000 r/min. The simulation and experimental results reveal that the proposed model and technique are correct and the model has excellent dynamic and static performance.