Song, Joong-Ho Lee, Kyo-Beum Choi, Ick Kim, Kwang-Bae Choi, Joo-Yeop Lee, Kwang-Won 2024-01-12T11:09:01Z 2024-01-12T11:09:01Z 2022-03-07 1998-08 0000-0000 https://pubs.kist.re.kr/handle/201004/85382 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. English IEEE Vibration control of 2-mass system using a neural network torsional torque estimator Conference 1 Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), pp.1785 - 1788 Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) 1785 1788 US Aachen, Ger 1998-08-31 IECON Proceedings (Industrial Electronics Conference) 2-s2.0-0032308080