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This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated simultaneously in real time. For a non-ambiguous parameter tracking, an additional voltage is superimposed. The influence of inverter nonlinearity, current...
The motor speed of an induction machine can be accurately estimated by utilizing speed-dependent harmonics in the stator current. This paper presents a PLL-based approach to identify one of these harmonics and reduce bandwidth-limiting filtering operations. Experimental results show the ability for tracking dynamic speed transitions.
This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated in real time. The presented approach is applicable on a standard industrial drive, including a current measurement and a motor speed feedback. The adaptation...
Some of the remaining challenges of self-sensing control for permanent magnet synchronous machines (PMSM) are: combination of EMF-based and magnetic saliency-based methods, influence of the fundamental current control on saliency-based methods, position-transducerless system identification of key parameters and reduction of computational effort. The authors present a novel Model Reference Adaptive...
In this paper the lifetime of the power semiconductors in the rotor side converter of a wind turbine with Doubly Fed Induction Generator (DFIG) concerning their power cycle capability is examined. Based on the offshore wind velocity data of one year (FINO station), the corresponding temperature cycles of the power semiconductors in the converter are simulated for a 2 MW DFIG. The simulation is based...
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