Jean Vianei Leite

Universidade Federal de Santa Catarina

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N. Sadowski

Consumer VOICE

Nelson Jhoe Batistela

Universidade Federal de Santa Catarina

J.P.A. Bastos

Universidade Tecnológica Federal do Paraná

Leandro dos Santos Coelho

Pontifícia Universidade Católica do Paraná

Mauricio Valência Ferreira da Luz

Universidade Federal de Santa Catarina

Patrick Kuo‐Peng

Universidade Federal de Santa Catarina

Filomena Barbosa Rodrigues Mendes

Universidade Tecnológica Federal do Paraná

Viviana Cocco Mariani

Pontifícia Universidade Católica do Paraná

Abdelkader Bénabou

Université de Lille

Kleyton Hoffmann

Universidade do Oeste de Santa Catarina

Cooperative Institutions

Universidade Federal de Santa Catarina

Centre National de la Recherche Scientifique

Polydoro Ernani de São Thiago University Hospital

Pontifícia Universidade Católica do Paraná

Universidade Federal do Paraná

Universidade Tecnológica Federal do Paraná

Université de Lille

Laboratoire d'Électrotechnique et d'Électronique de Puissance de Lille

École Centrale de Lille

Laboratoire de Génie Électrique et Électronique de Paris

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Harmony Search Approach Based on Ricker Map for Multi-Objective Transformer Design Optimization

IEEE Transactions on Magnetics (2015)

Helon Vicente Hultmann Ayala Leandro dos Santos Coelho Viviana Cocco Mariani Mauricio Valência Ferreira da Luz Jean Vianei Leite

Harmony search (HS) algorithm is an evolutionary optimization algorithm developed in an analogy with an improvisation process where musicians try to polish their pitches to obtain a better harmony. In this paper, a modified HS (MHS) algorithm is adapted to multi-objective optimization using external archiving, ranking with crowding distance, and control parameters tuning based on Ricker map to solve a transformer design optimization (TDO) problem with two competing objectives. Simulations applied to a TDO problem demonstrate the effectiveness of the proposed multi-objective MHS algorithm. Results indicate that, compared with other multi-objective HS algorithm, in terms of output quality, the proposed MHS is able to find competitive solutions with a good tradeoff between the design objectives.

Harmony search

10.1109/tmag.2014.2372332

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Citations (17)

Enhanced thermal modeling of three-phase dry-type transformers

Case Studies in Thermal Engineering (2024)

Jonatas Policarpo Américo Jean Vianei Leite Cristian F. Mazzola

10.1016/j.csite.2024.104445

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Citations (4)

Accurate minor loops calculation with a modified Jiles‐Atherton hysteresis model

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering (2009)

Jean Vianei Leite Abdelkader Bénabou N. Sadowski

Purpose Although the original Jiles‐Atherton (J‐A) hysteresis model is able to represent a wide range of major hysteresis loops, in particular those of soft magnetic materials, it can produces non‐physical minor loops with its classical equations. The purpose of this paper is to show a modification in the J‐A hysteresis model in order to improve the minor and inner loops representation. The proposed technique allows the J‐A model representing non‐centred minor loops with accuracy as well as improving the symmetric inner loops representation. Design/methodology/approach Only the irreversible magnetization component is slightly modified keeping unchanged the other model equations and the model simplicity. The high‐variation rate of the irreversible magnetization, which causes the non‐physical behaviour of minor loops, is limited by introducing a new physical parameter linked to the losses. Contrarily to other modifications of the original model found in the literature, the previously knowledge of the magnetic field waveform is not needed in this case. Findings The modified hysteresis model is validated by comparison with experimental results. A good agreement is observed between calculations and measurements. The modified model retains the low‐computational effort and numerical simplicity of the original one. Originality/value This paper shows that a classical scalar hysteresis model can be suitably used to take into account the minor loops behaviour and be included in a finite element code. The methodology is useful for the design and analysis of electromagnetic devices under distorted flux patterns.

Hysteresis

Minor (academic)

Representation

10.1108/03321640910940990

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Citations (39)

Restriction in the determination of the Jiles-Atherton hysteresis model parameters

Journal of Magnetism and Magnetic Materials (2017)

Juliano Bitencourt Padilha Patrick Kuo‐Peng N. Sadowski Jean Vianei Leite Nelson Jhoe Batistela

This work points out the origin of the convergence problem when the Jiles-Atherton hysteresis model is associated with the finite elements method (FEM) to analyze electromagnetic devices. To overcome this problem, a restriction is proposed and applied in the classical approach for the determination of the Jiles-Atherton hysteresis model parameters process. The presented methodology considers the inverse model, where the magnetic induction is the input variable and the magnetic field is the output variable.

Hysteresis

Electromagnetic induction

10.1016/j.jmmm.2017.06.033

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Citations (15)

Comparison and Combination of Techniques for Determining the Parameters of a Magnetic Hysteresis Model

Journal of Microwaves Optoelectronics and Electromagnetic Applications (2019)

Filomena Barbosa Rodrigues Mendes Jean Vianei Leite Nelson Jhoe Batistela N. Sadowski Fredy Maglorio Sobrado Suárez

The Jiles-Atherton scalar hysteresis model presents five parameters used to represent the material tested and used to calculate the magnetic losses. This article presents a comparative analysis of the performance of two methods of identifying these parameters. In the first method, the equations of Jiles-Atherton were assembled into a single non-linear ordinary differential equation as a function of the variables of interest. An algebraic system of five equations with five unknowns is obtained by evaluating the non-linear ordinary differential equation in five points belonging to the branch of the experimental hysteresis loop. The parameters are obtained by solving this system of equations using the method of Non-Linear Least Squares (NLLS). In the second method, the inverse model of Jiles-Atherton is used to calculate the magnetic field H from the experimental values of magnetic induction B. Using the method of genetic algorithms (MGA), the objective function given by the sum of the relative error of calculated magnetic field and experimental magnetic field along the hysteresis loop is minimized. To validate methods the experimental curves were compared with calculated ones. When applying the methods, it was verified that NLLS besides providing more accurate results, it is faster when compared to MGA. In the MGA the convergence of the calculated magnitudes to the experimental magnitudes improves when one of the chromosomes of the initial population is the solution obtained applying NLLS.

Hysteresis

Algebraic equation

10.1590/2179-10742019v18i31513

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Citations (4)

Performance comparison between Jiles-Atherton and play vector hysteresis models on field calculation

Jean Vianei Leite Kleyton Hoffmann Filomena Barbosa Rodrigues Mendes N. Sadowski J.P.A. Bastos

In this work two vector hysteresis models are incorporated on field calculations. Performance comparison of the two methodologies is presented. The Jiles-Atherton vector model and the Vector Play Model are coupled with FEM. Special attention is paid to convergence issues.

Hysteresis

10.1109/cefc.2016.7816376

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Citations (2)

Ant Lion Approach Based on Lozi Map for Multiobjective Transformer Design Optimization

2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2018)

Leandro dos Santos Coelho Gabriel Maidl Juliano Pierezan Viviana Cocco Mariani Mauricio Valência Ferreira da Luz

Metaheuristic algorithm is a generic computational approach aiming at efficiently solving optimization problems, mainly global optimization problems. The No Free Lunch theorem states that no single algorithm can perform well on every optimization problem, encouraging the development of new optimization metaheuristics. Ant lion optimizer (ALO) is a nature inspired stochastic metaheuristic algorithm which mimics the hunting behavior of ant lions in nature using steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps. In this paper, an ALO approach is adapted to multiobjective optimization (MOALO) using external archiving and ranking with crowding distance. Furthermore, a MOALO version with the control parameter setup based on Lozi map with chaotic dynamical behavior is also proposed to solve a Transformer Design Optimization (TDO) problem with two competing objectives. The effectiveness of the proposed algorithms is demonstrated by the simulations applied to a TDO problem.

Parallel metaheuristic

10.1109/speedam.2018.8445218

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Citations (7)

Multiobjective Exponential Particle Swarm Optimization Approach Applied to Hysteresis Parameters Estimation

IEEE Transactions on Magnetics (2012)

Leandro dos Santos Coelho Fábio Alessandro Guerra Jean Vianei Leite

The term "swarm intelligence" is used to describe algorithms and distributed problem solvers inspired by the collective behavior of insect colonies and other animal societies. Particle swarm optimization (PSO) is a kind of swarm intelligence that is based on the social behavior metaphor. Furthermore, PSO is a stochastic search technique with reduced memory requirement, computationally effective and easier to implement compared to other optimization metaheuristics. Unlike the traditional optimization algorithms, PSO is a derivative-free algorithm and thus it is especially effective in dealing with complex and nonlinear problems in electromagnetic optimization applications. In this paper, a multiobjective PSO approach based on exponential distribution probability operator (MOPSO-E) is proposed and evaluated. Numerical comparisons with results using a multiobjective PSO with external archiving and the proposed MOPSO-E demonstrated that the performance of the MOPSO-E is promising in Jiles-Atherton vector hysteresis model parameter identification. The proposed MOPSO-E to find nondominated solutions that represent the good trade-offs among the objectives in the evaluated case study.

Swarm intelligence

Derivative-Free Optimization

10.1109/tmag.2011.2172581

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Citations (35)

Real Coded Genetic Algorithm for Jiles–Atherton Model Parameters Identification

IEEE Transactions on Magnetics (2004)

Jean Vianei Leite Sérgio Luciano Ávila Nelson Jhoe Batistela W.P. Carpes N. Sadowski

The parameters set of the Jiles-Atherton hysteresis model is identified by using a real coded genetic algorithm. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The procedure is validated by comparing experimental and simulated results.

Identification

Hysteresis

10.1109/tmag.2004.825319

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Citations (98)

A Vector Jiles–Atherton Model for Improving the FEM Convergence

IEEE Transactions on Magnetics (2017)

Kleyton Hoffmann J.P.A. Bastos Jean Vianei Leite N. Sadowski Filomena Barbosa Rodrigues Mendes

This paper presents numerical procedures for the treatment of tensors related to the vector Jiles-Atherton (JA) model applied to the finite element method (FEM). The method is based on the 3-D differential permeability formulation. A more precise calculation implies the determination of the off-diagonal terms of tensor parameters. The main goal is to verify if such a change improves the convergence stability of the model coupled with FEM and if the use of the JA off-diagonal terms yields a more accurate hysteresis representation. We present results comparing experimental data of the Testing Electromagnetic Analysis Methods problem 32 with the proposed method.

Representation

10.1109/tmag.2017.2660303

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Citations (23)