期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-11
DOI：10.1088/1755-1315/252/3/032178
出版社：IOP Publishing
摘要：A novel rotor position estimation scheme using online parameter identification based on grey model is suggested in this paper, which will meet the need of sensorless control for permanent magnetism bearingless synchronous motor (PMBSM). The scheme is computationally simple and does not rely on the motor parameters. And then, the sensorless vector control system of PMBSM is set up based on this position estimation approach. The results of simulation and experiments show that the proposed method is capable of precisely estimating the rotor space position and is able to achieve stable suspension under the bigger disturbance.
