Switched Reluctance Motor Modeling, Design, Simulation, and Analysis: A Comprehensive Review

Vijayakumar, K. P.; Karthikeyan, R.; Paramasivam, S.; Arumugam, R.; Srinivas, K.N.

doi:10.1109/tmag.2008.2003334

Cited by 162 publications

(69 citation statements)

References 120 publications

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“…The motor is modelled using the time-stepping finite element technique. The formulation relies on a strong coupling between magnetic field, driving circuitry and mechanical motion equations yielding a complete description of the state of the motor at every time instance during the numerical iterative process [9,15,18,20]. In the field model the eddy current effect in the conducting regions of the rotor and stator cores is taken into account.…”

Section: A Coupled Field-circuit Model Of the Motormentioning

confidence: 99%

Infinite time horizon optimal current control of a stepper motor exploiting a finite element model

Bernat

Stępień

Stranz

et al. 2014

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. An optimal control theory based method is presented aiming at minimizing the energy delivered from source and the power loss in a stepper motor circuit. A linear quadratic current regulator with an infinite time horizon is employed and its appropriateness for this type of a problem explained. With the purpose of improving the accuracy of the control system, the self and mutual inductances of windings are calculated using a finite element model. The numerically computed results are verified experimentally.

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Section: A Coupled Field-circuit Model Of the Motormentioning

confidence: 99%

Infinite time horizon optimal current control of a stepper motor exploiting a finite element model

Bernat

Stępień

Stranz

et al. 2014

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…The network has three layers: input, hidden and output layer, and the number of neurons for each layer are m, o and n, respectively. The input and output are represented by vectors: X = (x 1 , x 2 , · · · , x m ) and Y = (y 1 , y 2 , · · · , y m ), and the relationship between them is given by (1).…”

Section: Wnnmentioning

confidence: 99%

“…1 SRM has been widely applying in aircraft, 2 electric vehicle, 3 wind power generation 4 and so on. However, the electromagnetic characteristics of SRM are high nonlinear due to its doubly salient structure and heavy saturated magnetic field, which makes the accurate modeling of SRM a difficult task.…”

Section: Introductionmentioning

confidence: 99%

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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“…Submit your manuscript electronically for Modern thermal analysis can be classified into three methods [4] namely 1) Experimental method 2) Lumped parameter thermal model method 3) Numerical analysis method Experimental method is suitable for already designed and fabricated machine to decide the precise cooling strategy based on its thermal behavior. But accuracy is less in the case of complex geometrical machine structures and the non-linear characteristics of the materials.…”

Section: Thermal Analysis Of Switched Reluctance Machinementioning

confidence: 99%

Steady State and Transient Thermal Analysis of Switched Reluctance Machine

Jebaseeli¹,

Paramasivam²

2012

IJCEE

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Abstract-This paper presents the two dimensional (2-D) steady state and transient thermal analysis in Switched Reluctance machine (SRM) to observe actual heat distribution in the parts of the machine using finite element method. Electromagnetic losses which form the heat source is calculated taking into consideration both skin effect and proximity effect. A 2-D steady state analysis is carried out to observe the temperature distribution and maximum temperature for wide range of speed and load conditions. From the analysis it is found that the maximum temperature is reached in the speed range of 1500 rpm. The load corresponding to maximum temperature is taken as initial condition for the transient thermal analysis. From the transient analysis, heat distribution at various load steps and the time to reach the steady state are observed. Simulation results for a 6/4 SRM are presented under steady state and transient conditions. As a result, thermal analysis plays a great significance for the long term stability of the machine.

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Switched Reluctance Motor Modeling, Design, Simulation, and Analysis: A Comprehensive Review

Cited by 162 publications

References 120 publications

Infinite time horizon optimal current control of a stepper motor exploiting a finite element model

Infinite time horizon optimal current control of a stepper motor exploiting a finite element model

Accurate modeling of switched reluctance machine based on hybrid trained WNN

Steady State and Transient Thermal Analysis of Switched Reluctance Machine

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