TY - CHAP

T1 - A decoupling dynamic estimator for online parameters indentification of permanent magnet three-phase synchronous motors

AU - Mercorelli, P.

N1 - Conference code: 16

PY - 2012

Y1 - 2012

N2 - This paper deals with a dynamic estimator for fully automated parameters indentification of permanent magnet three-phase synchronous motors. High performance application of permanent magnet synchronous motors (PMSM) is increasing. PMSM models with accurate parameters are significant not only for precise control system designs but also in traction applications. Acquisition of these parameters during motor operations is a challenging task due to the inherent nonlinearity of motor dynamics. This paper proposes parameters estimator technique for PMSMs. The technique uses a decoupling procedure optimized by a minimum variance error to estimate the inductance and resistance of the motor. Moreover, a dynamic estimator is shown. The estimator uses the measurements of input voltage, current and mechanical angular velocity of the motor, the estimated winding inductance, and resistance to identify the amplitude of the linkage flux. The presented technique is generally applicable and could be used also for the estimation of mechanical load and for other types of electrical motors, as well as for other dynamic systems with nonlinear model structure. Through simulations of a synchronous motor used in automotive applications, this paper verifies the effectiveness of the proposed method in identification of PMSM model parameters and discusses the limits of the found theoretical and the simulation results.

AB - This paper deals with a dynamic estimator for fully automated parameters indentification of permanent magnet three-phase synchronous motors. High performance application of permanent magnet synchronous motors (PMSM) is increasing. PMSM models with accurate parameters are significant not only for precise control system designs but also in traction applications. Acquisition of these parameters during motor operations is a challenging task due to the inherent nonlinearity of motor dynamics. This paper proposes parameters estimator technique for PMSMs. The technique uses a decoupling procedure optimized by a minimum variance error to estimate the inductance and resistance of the motor. Moreover, a dynamic estimator is shown. The estimator uses the measurements of input voltage, current and mechanical angular velocity of the motor, the estimated winding inductance, and resistance to identify the amplitude of the linkage flux. The presented technique is generally applicable and could be used also for the estimation of mechanical load and for other types of electrical motors, as well as for other dynamic systems with nonlinear model structure. Through simulations of a synchronous motor used in automotive applications, this paper verifies the effectiveness of the proposed method in identification of PMSM model parameters and discusses the limits of the found theoretical and the simulation results.

KW - Engineering

KW - Decoupling control

KW - Dynamic systems

KW - Parameters identification

KW - Synchronous motor

UR - http://www.scopus.com/inward/record.url?scp=84867054570&partnerID=8YFLogxK

U2 - 10.3182/20120711-3-BE-2027.00131

DO - 10.3182/20120711-3-BE-2027.00131

M3 - Article in conference proceedings

AN - SCOPUS:84867054570

SN - 9783902823069

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 757

EP - 762

BT - 16th IFAC Symposium on System Identification

A2 - Kinnaert, Michel

PB - International Federation of Automatic Control

T2 - 16th IFAC Symposium on System Identification - SYSID 2012

Y2 - 11 July 2012 through 13 July 2012

ER -