Improved Rotor Position Estimation for IPMSM Drives in Flux-Weakening-based Optimized Synchronous Modulation

Author(s):  
Hang Zhang ◽  
Zhe Chen ◽  
Hui Zhang
Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1254
Author(s):  
Gianluca Brando ◽  
Adolfo Dannier ◽  
Ivan Spina

This paper focuses on the performance analysis of a sensorless control for a Doubly Fed Induction Generator (DFIG) in grid-connected operation for turbine-based wind generation systems. With reference to a conventional stator flux based Field Oriented Control (FOC), a full-order adaptive observer is implemented and a criterion to calculate the observer gain matrix is provided. The observer provides the estimated stator flux and an estimation of the rotor position is also obtained through the measurements of stator and rotor phase currents. Due to parameter inaccuracy, the rotor position estimation is affected by an error. As a novelty of the discussed approach, the rotor position estimation error is considered as an additional machine parameter, and an error tracking procedure is envisioned in order to track the DFIG rotor position with better accuracy. In particular, an adaptive law based on the Lyapunov theory is implemented for the tracking of the rotor position estimation error, and a current injection strategy is developed in order to ensure the necessary tracking sensitivity around zero rotor voltages. The roughly evaluated rotor position can be corrected by means of the tracked rotor position estimation error, so that the corrected rotor position is sent to the FOC for the necessary rotating coordinate transformation. An extensive experimental analysis is carried out on an 11 kW, 4 poles, 400 V/50 Hz induction machine testifying the quality of the sensorless control.


2007 ◽  
Author(s):  
P. Champa ◽  
P. Somsiri ◽  
P. Wipasuramonton ◽  
P. Nakmahachalasint

2011 ◽  
Vol 6 (6) ◽  
pp. 594-600
Author(s):  
Kanokvate Tungpimolrut ◽  
Prapon Jitkreeyarn ◽  
Seubsuang Kachapornkul ◽  
Pakasit Somsiri ◽  
Akira Chiba

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