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.

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 IMPROVEMENT OF THE DESIGN ALGORITHM OF SWITCHED-RELUCTANCE MACHINES

2021 ◽  
pp. 140-155
Author(s):  
Anastasiya V. Shevkunova ◽  
Alexandr V. Kashuba
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimization Algorithm ◽  
Random Variable ◽  
Switched Reluctance Machine ◽  
Design Algorithm ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines ◽  
The Monte Carlo Method

The issue of improving the technical and economic indicators of switched-reluctance machines at the stage of their design has a significant degree of relevance. This study is devoted to improving the optimization algorithm for designing electric machines of the valve-inductor type. Parametric, single-criteria optimization was subject to consideration. The task of designing a magnetic system of a switched-reluctance machine is to find the optimal combination of values of geometric parameters, at which the value of the objective function reaches an extremum. Within the framework of this work, optimization was considered by the criterion of the minimum pulsations of the electromagnetic moment at low rotational speeds. The stochastic method – the Monte-Carlo method – was used as the basis for making changes to improve the efficiency of the optimization algorithm. The essence of the changes is to apply a normal distribution of a random variable with decreasing variance and with a variable value of the mathematical expectation instead of using a uniform distribution. For this study, methods of mathematical modeling were used, namely the Monte-Carlo method and methods of probability theory. Calculations of the magnetic field of the switched-reluctance machine were performed using the FEMM 4.2 program based on the finite element method. Due to the changes made to the basic optimization algorithm, the effectiveness of such a criterion as the time to achieve the final result with a given calculation accuracy has become higher. The obtained data can be practically useful in the development of manufacturing technology for the object of optimization.

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