LAUSR

In this article, an enhanced rotor position/speed estimation technique of doubly fed induction generator (DFIG) is focused. The estimator adopts model reference adaptive system (MRAS). The stator-side reactive current is taken as the main working variable in the model. The distinct advantage of the proposed scheme is stated that it is completely free from estimation error due to the mismatch of both stator and rotor resistances of DFIG and also the method is insensitive to magnetizing inductance variation. On the other hand, the existing schemes depend on any or combination of the parameters. The dependencies on the number of parameters are reduced in the proposed case to make the estimation method more robust. It has various other desirable qualities, such as no use of integration or differentiation during computation, flux calculationless estimation process, catch on fly operation, capability to estimate at very low slip speed condition, and accurate estimation at both sub- and supersynchronous speed range. The other novelty of the estimator is cited that it performs accurate rotor position/speed estimation irrespective of loading condition on the machine. The real-time experimental works are performed to validate various performances of the suggested estimation technique. The obtained results confirm expected performances as per theoretical analysis.