MRAS based online magnetizing inductance estimation of linear induction motor

Author

Ren, Jinqi ; Li, Yaohua

Author_Institution

Chinese Acad. of Sci., Beijing

fYear

2007

fDate

8-11 Oct. 2007

Firstpage

1580

Lastpage

1583

Abstract

Due to the dynamic end effect, the parameters of SLIM (single sided Linear induction motor) can vary greatly during the operation stage, and cannot be obtained accurately through offline parameter identification method. An adjustable dynamic motor model based on state space equations of LIM is established and a new online identification method based on MRAS is presented, magnetizing inductance of LIM under moving condition can be calculated accurately. The algorithm is validated by simulation and experimental results and show good convergence ability and calculation accuracy. The parameter identification result is in agreement with the LIM dynamic characteristics and the output current of regulated model is almost identical to that of the real motor.

Keywords

induction motors; linear motors; parameter estimation; state-space methods; MRAS; SLIM; model reference adaptive system; offline parameter identification method; online magnetizing inductance estimation; single sided linear induction motor; state space equation; Accuracy; Eddy currents; Equations; Inductance; Induction motors; Mathematical model; Parameter estimation; Saturation magnetization; State-space methods; Traction motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2007. ICEMS. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-86510-07-2

Electronic_ISBN

978-89-86510-07-2

Type

conf

Filename

4412293