Özet:

In this study, a hybrid estimator based speed-sensored direct vector control (DVC) of induction motor (IM) is implemented in simulation for electrical vehicle drive system applications. The proposed estimator is composed of stochastic based extended Kalman filter (EKF) and online magnetizing inductance estimation method. In hybrid estimation method, stator stationary axis components (αβ) of stator current ( and ), αβ- axis components of rotor flux ( and ), rotor and stator resistances ( and )are estimated by EKF and the changes of magnetizing inductance are determined by online magnetizing inductance estimation method. The estimation performance of the hybrid estimation method which is implemented with DVC in simulation platform and the control performance of DVC are tested at a wide speed range varying from zero speed to beyond the rated/based speed defined as field weakening region in the literature under the challenging variations of parameters and states. The results obtained from the simulation show that the proposed hybrid estimator has a very high performance. Also the speed-sensored DVC has been gained the ability to have high control performance over a wide speed range.

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