Improved MRAS Parameter Identification Method for PMSM Based on Permanent Magnet Flux Linkage Free Model
Shengqi Zhao, Xiaoyan Huang, Qichao Hu, Zhaokai Li
Abstract
In this paper, an improved model reference adaptive system (MRAS) method is proposed, taking the flux linkage free permanent magnet synchronous motor (PMSM) model as a reference model to identify stator resistance and stator inductance online. The negative impact of permanent magnet flux linkage error on other parameters identification is avoid. According to MATLAB/Simulink simulation, the proposed parameter identification method can achieve high identification steady accuracy and dynamic response, which proves the effectiveness of this method.
Topics & Concepts
MRASFlux linkageControl theory (sociology)InductanceStatorMagnetIdentification (biology)MATLABAdaptive systemComputer scienceSystem identificationLinkage (software)Control engineeringEngineeringDirect torque controlInduction motorData modelingVector controlArtificial intelligenceVoltageMechanical engineeringElectrical engineeringControl (management)BiochemistryDatabaseBotanyOperating systemBiologyGeneChemistrySensorless Control of Electric MotorsMagnetic Bearings and Levitation DynamicsElectric Motor Design and Analysis