A comparative study on approaches to curve fitting of magnetization characteristics for induction generators

Vuddanti, Sandeep; Murthy, S. Srinivasa; Singh, Bhim

doi:10.1109/pedes.2012.6484362

Cited by 7 publications

(3 citation statements)

References 20 publications

(39 reference statements)

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“…To test the accuracy of this DNN model, several typical magnetization curve models were fitted according to previous studies based on the same dataset [21], which included a 3rd degrees polynomial, hyperbolic, two exponential functions, and one transcendental function. All models are given by Equations (7)- (11).…”

Section: Methodsmentioning

confidence: 99%

Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

Pan

Guzzomi

2018

Electronics

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In this paper, the hysteresis characteristics of a transformer core are determined from limited on-line measured voltages and currents under certain excitations. A method for calculating the magnetization curve and hysteresis loops of the transformer core under various excitation is developed based on limited excitation conditions, and using the deep neural network, support vector regressor and the Wlodarski model. The coercivity and the amplitude of magnetic field strength of hysteresis loops can be captured with high accuracy based on this method. Then, a finite element model of the transformer core is constructed to predict the distributed magnetic flux density and the excitation current using the calculated hysteresis loops. The currents from various excitation voltages on two different transformer structures are also measured to compared with simulated currents. The outcome indicates that the overall hysteresis loops and magnetization curve of the transformer core may be useful for modeling the magnetic field and excitation current under any voltage excitation.

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Section: Methodsmentioning

confidence: 99%

Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

Pan

Guzzomi

2018

Electronics

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“…The B-H curve of ferromagnetic material has high nonlinearity and is usually fitted by a polynomial function or exponential function (Sandeep et al , 2012). In this paper, the piecewise function is used to fit the B-H curve of the BSRM with iron-core, namely: …”

Section: Bearingless Switched Reluctance Motor Model Based On Maxwell Stress With Magnetic Saturationmentioning

confidence: 99%

A novel mathematical model of bearingless switched reluctance motor considering air-gap edge effect

Chen

Wang

Tan

2017

COMPEL

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Purpose This paper aims to propose a novel mathematical model of bearingless switched reluctance motor (BSRM). This model differs from conventional mathematical models in the calculation of torque and suspension forces. Conventional mathematical models neglect the coupling relationship between the α- and β-axes or ignore the magnetic saturation of the Si-Fe material. This study considers these issues simultaneously. Additionally, considering the air-gap edge effect, the fringing coefficient is used to establish a high-precision mathematical model. Design/methodology/approach An innovative mathematical model of BSRM based on the Maxwell stress method was established by selecting an appropriate integration path. The fringing coefficient of the air-gap was computed based on the finite element analysis results at the aligned position of the stator and rotor poles. Using the least squares fitting method, the piecewise fitted magnetization curve of the Si-Fe material was utilized to calculate flux density. Findings The appropriate integration path of the Maxwell stress method was selected, which considered the coupling relationship of the suspension forces in the α- and β-axes and was closer to the actual situation. The fringing coefficient of the air-gap improved the calculation accuracy of air-gap flux density. The magnetomotive force was consumed by the magnetic resistance of the stator and rotor poles considering the magnetic saturation. Originality/value A novel mathematical model of BSRM is proposed. Different from conventional mathematical models, the proposed model can effectively solve the coupling relationship of the suspension forces in the α- and β-axes. Additionally, this model is consistent with the actual situation of motor as it includes a reasonable calculation of the air-gap flux density, considering the air-gap edge effect and magnetic saturation.

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“…Terminal voltage and frequency of SEIG are sensitive to load demand and rotor shaft speed [7], [8]. Moreover, magnetic saturation characteristics of SEIG is essential for steady state analysis [9]. So regulation of terminal voltage and frequency are major concern for variable speed wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of a self-excited induction generator for stand-alone wind energy conversion system

Mishra

Pattnaik

Samanta

2015

2015 IEEE Power, Communication and Information Technology Conference (PCITC)

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This paper presents the performance characteristics of a self-excited induction generator (SEIG) under various operating conditions. This also explains the modeling of parallel equivalent circuit to evaluate the reactive power required for SEIG. The variation of terminal voltage has been studied by varying the shaft speed, capacitance value and load. The simulations are carried through MATLAB/SIMULINK environment, and the validation of the simulation results are established through an experimental set-up.

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A comparative study on approaches to curve fitting of magnetization characteristics for induction generators

Cited by 7 publications

References 20 publications

Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

A novel mathematical model of bearingless switched reluctance motor considering air-gap edge effect

Performance evaluation of a self-excited induction generator for stand-alone wind energy conversion system

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