Open AccessA novel SPMSM sensorless strategy based on parameter identification
Author(s) -
Jihui Teng,
Chengning Zhang,
Shuo Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012142
Subject(s) - control theory (sociology) , computer science , frame (networking) , inductance , position (finance) , matlab , identification (biology) , control (management) , control engineering , engineering , artificial intelligence , voltage , telecommunications , botany , finance , electrical engineering , economics , biology , operating system
In recent years, with the application of Permanent-magnet synchronous motor (PMSM) has been wildly appeared in many industrial areas, sensorless control method of PMSM is being a research hotpot in last two decades. This paper propose a novel speed sensorless control method for SPMSM, which consists of model adaptive reference speed (MARS) sensorless method and Recursive Least Square (RLS) parameter identification method, we use RLS method to identify the inductance and take the estimated inductance value to MARS control and the fundamental control method, finally we use the estimated speed and position value as feedback to make a close loop control frame. This novel method can successfully make the whole control system operate using the estimated speed and position value as feedback meanwhile overcome the flaw that control frame is sensitive with the parameters. We use Matlab/Simulink to implement simulation and the results could prove this method’s feasibility.