Title :
Estimation of induction machine parameters from standstill time domain data
Author :
Moon, S.-I. ; Keyhani, A.
Author_Institution :
Ohio State Univ., Columbus, OH, USA
Abstract :
A step-by-step approach to identifying the parameters of an induction machine from standstill time-domain test data is presented. A step voltage disturbance is applied across the stator terminals while the machine is in standstill condition, and the resulting stator voltage and current responses are measured. The initialization of the transfer function model parameters is achieved by the Laplace transformation of the recorded time-response data, and the maximum likelihood method is used for both the transfer function and the equivalent circuit model parameter estimation. Based on the identified models, simulation studies are performed and compared to the measured standstill time-domain response, the standstill frequency response, and the free acceleration response to validate the identified models. A three-phase wound rotor induction machine rated at 5 hp and 220 V was tested at standstill, and its parameters were estimated
Keywords :
asynchronous machines; equivalent circuits; frequency response; machine testing; machine theory; parameter estimation; probability; rotors; stators; time-domain analysis; transfer functions; 220 V; 5 hp; Laplace transformation; current responses; equivalent circuit model; free acceleration response; frequency response; machine testing; machine theory; maximum likelihood method; parameter estimation; parameter identification; simulation; standstill time domain data; stator terminals; step voltage disturbance; three-phase wound rotor induction machine; transfer function model; voltage response; Current measurement; Equivalent circuits; Induction machines; Maximum likelihood estimation; Parameter estimation; Stators; Testing; Time domain analysis; Transfer functions; Voltage;
Conference_Titel :
Industry Applications Society Annual Meeting, 1993., Conference Record of the 1993 IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-1462-X
DOI :
10.1109/IAS.1993.298945