The SRM is considered highly nonlinear which makes the SRM modeling difficult to achieve. This paper presents a new method for analytical modeling and ...
Aug 26, 2020 · Specifically, this system nonlinearity can be exactly described by a nonlinear block followed by a linear element. The proposed method differs ...
Dec 30, 2020 · Taking magnetic saturation into account leads to non-linear models which need to develop parameter estimation techniques well adapted. At first, ...
Dec 29, 2020 · The strong nonlinearity of this machine must be taken into consideration by appropriate identifica- tion of the inductance parameters. This ...
Switched Reluctance Motor Modeling and Loss Estimation Review by ... Keywords: analytic average torque calculation, vector analysis, nonlinear switched.
Modeling and parameter identification of switched reluctance motors from operating data using neural networks. Conference Paper. Full-text available. Jul 2003.
Sep 9, 2020 · This chapter focuses on SRM characterization procedure, enlightening the nonlinear characteristics and the importance of the magnetization curves.
Dec 19, 2020 · The paper deals with nonlinear simulation models of a drive consisting of the four-phase 8/6 doubly salient switched reluctance motor (SRM).
This paper presents a novel nonlinear full model developed by using artificial neural networks (ANNs) for switched reluctance motors (SRMs).
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Abstract—The paper presents a simple nonlinear model of the switched reluctance motor (SRM) which requires a minimum of precalculated or measured input data ...