PUBLICATIONS

A new control scheme using a torsional torque estimator based on a neural network is proposed and investigated for improving

control characteristics of the high-performance motion control system. This control method presents better performance in the

corresponding speed vibration response, compared with the disturbance observer-based control method. This result comes from the

fact that the proposed neural network estimator keeps the self-learning capability, whereas the disturbance observer based torque

estimator with the low pass filter should adjust the time constant of the adopted filter according to the natural resonance frequency

determined by considering the system parameters varied. The simulation results show the validity of the proposed control scheme.