@inproceedings{e7e7adcebbd0490389ea7980d0367d35,
title = "Advanced online parameter identification-based PWM predictive control for AC servo systems",
abstract = "A novel online inductance and flux identification method for AC servo motor based on PWM predictive current control is proposed in this paper. The influences of inductance and flux inconsistency on d,q current responses are theoretically deduced, by achieving the d axis feedback current as zero after the successful identification of real motor inductance according to d axis current error during the steady state. The complexity of q axis current formula can be decreased and makes the flux identification possible according to q axis current error. The proposed method is quite convenient to be realized in servo systems and the dynamic performance of predictive current control is greatly enhanced. Effectiveness of the proposed methods is verified through simulation and experiment on a 750W PMSM servo system.",
keywords = "Online parameter identification, PWM modulation, Parameter inconsistency, Predictive current control, Servo systems",
author = "Jiang Long and Ming Yang and Lang, {Xiao Yu} and Xin Lv and Liu, {Xiao Sheng} and Xu, {Dian Guo}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2016",
month = dec,
day = "21",
doi = "10.1109/IECON.2016.7793799",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "2672--2677",
booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",
address = "United States",
}