1976
DOI: 10.1016/0005-1098(76)90059-5
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Parameter identification for induction motor simulation

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Cited by 35 publications
(4 citation statements)
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“…In [6], the parameter values of the single-cage model without core losses (SCM) are identified through iterative least-squares curve fitting from torque and current measurements at several points from startup to synchronous speed. Natarajan and Misra [7] pioneered the identification of parameter values from manufacturer data, using analytical relationships to calculate the single-cage model with core losses (SCM-CL) in order to build curves of efficiency and power factor.…”
Section: B Chronological Overviewmentioning
confidence: 99%
“…In [6], the parameter values of the single-cage model without core losses (SCM) are identified through iterative least-squares curve fitting from torque and current measurements at several points from startup to synchronous speed. Natarajan and Misra [7] pioneered the identification of parameter values from manufacturer data, using analytical relationships to calculate the single-cage model with core losses (SCM-CL) in order to build curves of efficiency and power factor.…”
Section: B Chronological Overviewmentioning
confidence: 99%
“…arge During decades research activity in vector control applications of the induction machine were directed to the accurate estimation of the non-measurable variables in real time. Some authors such as Bellini et al [3], Garcés [4], and Nordin et al [5] have proposed several estimation methods to solve this problem. In general, these methods are dependent on the model parameters, and in general these parameters are varying during normal operation of the machine.…”
Section: Introductionmentioning
confidence: 99%
“…The rotor time constant is estimated in [17,33] by simple on-line identification schemes while a current perturbation signal is injected in [25] for the estimation of rotor and stator resistances. Off-line parameter estimations are treated in [3,19,35,37] while flux and speed observers for vehicular applications are designed in [28]. A review on induction motor parameter estimation techniques can be found in [34].…”
Section: Introductionmentioning
confidence: 99%