scholarly journals Accurate Magnetic Characterization Based Model Development for Switched Reluctance Machine

2019 ◽  
Vol 63 (3) ◽  
pp. 202-212 ◽  
Author(s):  
Mahmoud Hamouda ◽  
László Számel
Keyword(s):  
High Performance ◽  
Model Development ◽  
Magnetic Characteristics ◽  
Matlab Simulation ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines ◽  
Doubly Salient ◽  
Lcr Meter ◽  
Fidelity Model

High performance control and analysis of switched reluctance machines (SRMs) require accurate modeling of their magnetic characteristics. However, the doubly salient structure and deep magnetic saturation make it very complicated to accurately model SRMs. This paper presents a high fidelity model development for SRMs. The model is developed based on the experimental measurement of flux-linkage and torque characteristics. The introduced measurement noises / errors are investigated carefully. Then several post-processes are achieved to reduce these noises. The measurement accuracy is verified by three methods: finite element method (FEM), search coil comparison, and LCR meter. The measured data are employed after proper rearrangement to build a dynamic MATLAB simulation model for the tested 8/6 machine. The model accuracy and dependability is achieved experimentally.

Torque Optimization of Double-Stator Switched Reluctance Machine

2013 ◽  
Vol 313-314 ◽  
pp. 45-50 ◽  
Author(s):  
Mohammadali Abbasian ◽  
Vahid Hanaeinejad
Keyword(s):  
Finite Element ◽  
Acoustic Noise ◽  
Optimization Method ◽  
Torque Ripple ◽  
Radial Force ◽  
Switched Reluctance Machine ◽  
Switched Reluctance ◽  
Torque Density ◽  
Reluctance Machine ◽  
Switched Reluctance Machines

Double-stator switched reluctance machines benefit from a high torque density and a low radial force level in comparison with conventional switched reluctance machines resulting in a lower vibration and acoustic noise. Therefore, they are suitable candidate for automotive applications. However, torque pulsation which is also a source for vibration is still remained and should be alleviate by dimension optimization of the machine. This paper presents a design optimization of a double-stator switched reluctance machine for improving the magnetic torque quality of the machine. For this purpose finite element method along with response surface methodology is used to optimize three parameters of the machine to maximize torque quality factor i.e. the average torque to torque ripple ratio in the machine. Genetic algorithm method is also employed as an optimization tool. The aim of optimization is to maximize the ratio of average torque to torque ripple. Finite element results are presented to verify the optimization method.

scholarly journals A Survey of the Modeling of Switched Reluctance Machines and their Applications

2020 ◽  
Vol 6 (1) ◽  
pp. 26-36
Author(s):  
Ana Camila Ferreira Mamede ◽  
José Roberto Camacho ◽  
Rui Esteves Araújo
Keyword(s):  
Single Machine ◽  
Open Problem ◽  
Angular Position ◽  
Mathematical Function ◽  
Nonlinear Relationship ◽  
Switched Reluctance Machine ◽  
Flux Linkage ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines

The main objective of modeling a switched reluctance machine is to derive a mathematical function to relate the outputs to the inputs. Due to the nonlinear relationship between the variables of torque, flux linkage, current and angular position of the rotor, Switched Reluctance Machine (SRM) modeling is a very challenging task and an open problem. Modeling is usually done in two situations, modeling a single machine, or modeling a set of machines. Each one must fulfill different requirements. This work presents a survey of different SRM modeling approaches, evaluating its advantages and limitations when modeling a single machine or a set of machines.

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