Title :
Identification of induction motor parameters
Author :
Pappano, V. ; Lyshevski, S.E. ; Friedland, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
In this paper, a model-based mapping identification concept is used to identify the unknown parameters of induction motors using transient dynamics. The reported state-space identification scheme can be applied to a wide class of nonlinear multivariable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are identified for a voltage-fed squirrel-cage induction motor, under the assumption that the state vector is available for measurement
Keywords :
induction motors; multivariable systems; nonlinear systems; parameter estimation; state-space methods; transients; induction motor parameter identification; model-based mapping identification concept; nonlinear multivariable continuous-time dynamic systems; state-space identification scheme; transient dynamics; voltage-fed squirrel-cage induction motor; Control systems; Couplings; Induction motors; Magnetic flux; Mathematical model; Motion control; Nonlinear dynamical systems; Stators; Vehicle dynamics; Voltage;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760825
