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 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 shows the validity of the proposed

control scheme.