Control methods of the switched reluctance motor in electric vehicle during acceleration

Abdel-Kader, F. E.; Elsherif, M. Z.; Abdel-Rahim, Naser; Fathy, Mohamed

doi:10.1063/1.4772964

Cited by 4 publications

References 11 publications

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Accurate modeling of switched reluctance machine based on hybrid trained WNN

Song

et al. 2014

AIP Advances

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According to the strong nonlinear electromagnetic characteristics of switched reluctance machine (SRM), a novel accurate modeling method is proposed based on hybrid trained wavelet neural network (WNN) which combines improved genetic algorithm (GA) with gradient descent (GD) method to train the network. In the novel method, WNN is trained by GD method based on the initial weights obtained per improved GA optimization, and the global parallel searching capability of stochastic algorithm and local convergence speed of deterministic algorithm are combined to enhance the training accuracy, stability and speed. Based on the measured electromagnetic characteristics of a 3-phase 12/8-pole SRM, the nonlinear simulation model is built by hybrid trained WNN in Matlab. The phase current and mechanical characteristics from simulation under different working conditions meet well with those from experiments, which indicates the accuracy of the model for dynamic and static performance evaluation of SRM and verifies the effectiveness of the proposed modeling method.

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Accurate modeling of switched reluctance machine based on hybrid trained WNN

Song

et al. 2014

AIP Advances

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Experimentally validated model of a self-switched solar motor for pumping application

Mseddi

Aloui²,

Vido

et al. 2021

Journal of Renewable and Sustainable Energy

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This paper presents an original and autonomous solar pumping system, based on a Switched Reluctance Motor commutated by photovoltaic cells (SRMPV) and powered by a photovoltaic generator. In this work, experimental tests characterizing the SRMPV are presented. Based on these experiments, the first mathematical model of this complex system is developed and implemented under the Matlab-Simulink platform. In order to optimize the design of the SRMPV, the simulation platform is used to perform a sensitivity study. This research will focus on the determination of the optimal number of coils, the optimal air gap, and the optimal winding cross area of the switched reluctance motor.

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