An Extended Flux Model-Based Rotor Position Estimator for Sensorless Control of Interior Permanent Magnet Synchronous Machines

Authors

Yue Zhao, University of Nebraska-LincolnFollow
Zhe Zhang, University of Nebraska-LincolnFollow
Wei Qiao, University of Nebraska-LincolnFollow
Long Wu, John Deere Electronic SolutionsFollow

Document Type

Article

Date of this Version

2013

Citation

Energy Conversion Congress and Exposition (ECCE), 2013 IEEE Year: 2013

Comments

©2013 IEEE

Abstract

Starting from the classical dynamic model of interior permanent magnet synchronous machines (IPMSMs) expressed in the stationary reference frame, this paper presents a mathematical model reconstruction process for IPMSMs, from which an extended flux-based IPMSM model is derived. Compared with the commonly used extended electromotive force-based model, the extended flux-based model has notable advantages of simpler model structure and less sensitive to machine parameter and speed variations. An extended flux model-based position estimator is then proposed for sensorless control of an IPMSM by utilizing a sliding-mode observer with a dynamic position compensator. The latter improves the dynamic performance and low-speed operating capability of the sensorless controller. Both simulation and experimental results are provided to validate the proposed position estimator and sensorless IPMSM drive system.