This study presents a non-linear modelling method for a switched reluctance linear machine (SRLM), which achieves high modelling precision while requiring no prior knowledge regarding the specific structural dimensions of an SRLM. The proposed modelling method provides accurate flux linkage data based on limited experimental measurements through an interpolation process using a variant sigmoid function. The accuracy of the interpolation process is further increased by considering mutual coupling among the three phases. The performance of the proposed method is validated experimentally by comparing it with the performances of the Fourier series method and the two-dimensional finite element method. The results demonstrate that the proposed method achieves greater modelling precision than the other methods considered in modelling an SRLM.
This paper deals with rotor position estimation of switched reluctance motors (SRM). The estimation method can be applied in SRM sensorless control of position speed and torque controllers. The implementation suggested is based on a real time adaptive filter. The measured variables are supply voltage and stator currents. These currents are used repeatedly for rotor position estimation by using linear adaptive filter which time constant is adjusted to the speed of the rotor. The result of this estimation is a rather precise and convenient rotor angle determining device for SRM sensorless control electrical drives.
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