Title :
LPV observer for PMSM with systematic gain design via convex optimization, and its extension for standstill estimation of the position without saliency
Author :
Zgorski, A. ; Bayon, B. ; Scorletti, G. ; Xuefang Lin-Shi
Author_Institution :
Sagem Defense Securite, Valence, France
Abstract :
This paper presents a new efficient and systematic method to optimize the gain of the Linear Parameter-Varying (LPV) observer for a surface-mounted Permanent Magnet Synchronous Motor (PMSM). The said gain will be calculated by convex optimization to induce a convergence of the observer in a predetermined speed range. An extension of the observer to zero-speed estimation of position is also proposed, using a new model of the machine taking an injection signal into account, and without the use of saliency.
Keywords :
convex programming; observers; permanent magnet motors; position control; sensorless machine control; synchronous motors; LPV observer; PMSM; convex optimization; injection signal; linear parameter-varying observer; model-based sensorless control; position control; position zero-speed estimation; standstill position estimation; surface-mounted permanent magnet synchronous motor; systematic gain design; systematic method; Convex functions; Estimation error; Observability; Observers; Permanent magnets; Systematics; LPV observer; Linear Matrix Inequalities (LMI); Model-based sensorless control; PMSM; Position Control; Zero-speed Observer;
Conference_Titel :
Sensorless Control for Electrical Drives (SLED), 2012 IEEE Symposium on
Conference_Location :
Milwaukee, WI
Print_ISBN :
978-1-4673-2966-8
DOI :
10.1109/SLED.2012.6422818
