PROJECT TITLE :

A Novel Online Parameter Estimation Method for Indirect Field Oriented Induction Motor Drives - 2017

ABSTRACT:

This paper presents a completely unique on-line parameter estimation technique to beat the negative influence of parameter mismatch on the sector orientation and then on the performance of the indirect field oriented induction motor drives. This methodology permits for parallel estimation of the rotor resistance and the mutual inductance, which tend to deviate from their nominal values resulting from changes in temperature and flux level. Within the case of electrical vehicles or wind power generators, the parameter deviation degrades the drive performance in two ways in which: calculation of the present reference from the torque command issued by the ability management unit and calculation of the slip frequency for the indirect field orientation. Moreover, the mutual inductance estimation is additional crucial in these wide speed vary applications than normally trade field. This proposed estimation technique is implemented through a model reference adaptive system about the rotor flux. The reference model comes from 2 sliding-mode observers (SMOs): a terminal SMO and a linear SMO, implemented in series. The adjustable model is undertaken by this model of rotor flux. The analysis and design presented during this paper are confirmed both through numerical simulation and experiments.