Low Speed Control of Hybrid Excitation Synchronous Machines Based on a Novel Load Torque Sliding Mode Observer

التفاصيل البيبلوغرافية
العنوان: Low Speed Control of Hybrid Excitation Synchronous Machines Based on a Novel Load Torque Sliding Mode Observer
المؤلفون: Bingchu Liu, Yueling Zhao, Wei Wang, Dong Guo, Jieqi Liu
المصدر: 2020 39th Chinese Control Conference (CCC).
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 0209 industrial biotechnology, Observer (quantum physics), Computer science, Feed forward, 02 engineering and technology, 020901 industrial engineering & automation, Excitation current, Low speed, Control theory, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Load torque, Synchronous motor, Excitation
الوصف: In order to reduce the influence of load torque disturbance on the low speed stability of hybrid excitation synchronous motor and improve its load-bearing ability at low speed, a low speed control strategy of Hybrid Excitation Synchronous Motor based on a load torque sliding mode observation is proposed. The load torque observed by sliding mode observer are taken as the feedforward compensation of q-axis current and the given input of excitation current respectively. Furthermore, the load-bearing ability and stability of the hybrid excitation synchronous motor are improved. The sliding mode surface is composed of the difference between the actual speed and the estimated speed, which is used to realize the load torque observation in the sliding mode observer. The simulation results show that the value of the load torque observed by the observer is accurate, and the dynamic characteristics and robustness of the hybrid excitation synchronous motor in low speed range can be improved by the low speed control strategy.
DOI: 10.23919/ccc50068.2020.9188971
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::26181289c305fca0f84893fed3518520
https://doi.org/10.23919/ccc50068.2020.9188971
رقم الانضمام: edsair.doi...........26181289c305fca0f84893fed3518520
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.23919/ccc50068.2020.9188971