Title :
MRAS based online magnetizing inductance estimation of linear induction motor
Author :
Ren, Jinqi ; Li, Yaohua
Author_Institution :
Chinese Acad. of Sci., Beijing
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;
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
