Search

This paper presents a comprehensive program based on a novel analytical model for a variable reluctance machine (VRM) developed in Matlab-language to compute the value of the flux linkage, coenergy and instantaneous electromagnetic torque as functions of rotor position and winding currents, taking into account the non-linearity of the magnetic circuit. The models are compared with the ones obtained, for the same motor, via a 2D finite elements analysis (FEA) using Flux-2D software. The genetic algorithms (GA) and analytical model are able to determine optimal geometriy of a doubly salient 6/4 VRM with the objective function maximizing the torque with a rate of undulation maintained constant. The obtained results are discussed and shows the effectiveness of the proposed approach.

This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the performances in terms of increased average torque and reduced torque ripple. The studied 3kW SRM is modeled using a numerical-analytical approach based on a coupled Finite Element Method with Equivalent Magnetic Circuit (FEM-EMC). The simulations are performed under MATLAB environment with user-friendly software. The optimal results found are discussed, compared against those obtained by the Genetic Algorithms (GA) and showed a significant improvement in average torque.

This paper presents the effects of dynamic air-gap eccentricity (DE) on the performances of a 6/4 Switched Reluctance Machine (SRM) through finite Element Analysis by means of Finite Element Method Magnetics (FEMM). The Time-Frequency Representation (TFR) is carried out to study the effect of DE on the output torque signal. Time-frequency representation is an appropriate tool for detecting the mechanical failures from the torque analysis. Relatively few works study the influence of eccentricity on the dynamic response of SRM. Various time-frequency methods as Wigner-Ville distribution (WVD) and Short Time Fourier Transform (STFT) are used and illustrated to fault detection. TFR method allows an accurate detection independent from the type of fault. Finally, simulation results of healthy and faulty cases are presented.