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Start Over Author "Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology" Publisher institute of electrical and electronics engineers (ieee)
8 results on '"Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology"'

1. LQG Optimal Control Applied to On-Board Energy Management System of All-Electric Vehicles

Author

Antoneta Iuliana Bratcu, Seddik Bacha, Iulian Munteanu, Adrian Florescu, Axel Rumeau, G2Elab-SYstèmes et Réseaux ELectriques (G2Elab-SYREL), Laboratoire de Génie Electrique de Grenoble (G2ELab), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), GIPSA - Systèmes linéaires et robustesse (GIPSA-SLR), Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), GIPSA - Systèmes non linéaires et complexité (GIPSA-SYSCO), and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)

Subjects
Battery (electricity), real-time simulation, Engineering, business.product_category, energy management, Energy management, linearization techniques, 020209 energy, 02 engineering and technology, Linear-quadratic-Gaussian control, 7. Clean energy, [SPI.AUTO]Engineering Sciences [physics]/Automatic, optimal control, Control theory, Electric vehicle, Electric vehicles (EVs), 0202 electrical engineering, electronic engineering, information engineering, gain scheduling, Optimal projection equations, Electrical and Electronic Engineering, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, Control engineering, Optimal control, Gain scheduling, Control and Systems Engineering, Load regulation, business
Abstract

International audience; This paper proposes a general frequency-separation-based strategy of coordinating power sources within off-grid applications. The application chosen to illustrate this strategy is an electric vehicle equipped with two power sources---a battery and an ultracapacitor (UC)---for which coordination problem can be formulated and solved as a linear quadratic Gaussian (LQG) optimal control problem. The two power sources are controlled to share the stochastically variable load according to their respective frequency range of specialization: low-frequency variations of the required power are supplied by the main source, the battery, whereas high-frequency variations are provided by the UC. The studied system is a bilinear one; it can be modeled as a linear parameter varying system. An LQG-based optimal control structure is designed and coupled with a gain-scheduling structure to cover the entire operating range. In this way, load regulation performance and the variations of battery current are conveniently traded off to preserve battery reliability and lifetime. Real-time experiments on a dedicated test rig---based on employing a real UC---validate the proposed optimal power flow management approach.

Published
2015

2. A Differential Permeability 3-D Formulation for Anisotropic Vector Hysteresis Analysis

Author

Jean Vianei Leite, Nelson Sadowski, Nelson Jhoe Batistela, Gérard Meunier, João P. A. Bastos, Olivier Chadebec, Kleyton Hoffmann, Grupo de concepção e analise de dispositivos eletromagnéticos (GRUCAD), Universitade Federal de Santa Catarina, Laboratoire de Génie Electrique de Grenoble (G2ELab), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology, Garcia, Sylvie, Schneider-Electric, Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)

Subjects
010302 applied physics, magnetic anisotropy, Materials science, Magnetic energy, Magnetic domain, Condensed matter physics, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Mathematical analysis, 02 engineering and technology, 021001 nanoscience & nanotechnology, Magnetic hysteresis, 01 natural sciences, Magnetic susceptibility, Electronic, Optical and Magnetic Materials, vector hysteresis, Magnetic anisotropy, Ferromagnetism, Permeability (electromagnetism), 0103 physical sciences, Finite element methods (FEMs), Electrical and Electronic Engineering, 0210 nano-technology, Anisotropy, ComputingMilieux_MISCELLANEOUS, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

International audience; In the previous work, we introduced a formulation joining two concepts: 1) the source-field technique and 2) the differential permeability method. It was shown that the resulting procedure produces accurate results for non-linear cases and it was favorably compared with the more classical approach considering the actual permeability. Here, we extend this formulation for vector hysteresis cases that are modeled by the Jiles-Atherton approach. It considers the magnetic anisotropy of the ferromagnetic sheets.

Published
2014

3. Efficient Reluctance Network Formulation for Electrical Machine Design Using Optimization

Author

Lauric Garbuio, Hoa Nguyen-Xuan, Sylvain Perez, Hussein Dogan, Laurent Gerbaud, Frédéric Wurtz, Laboratoire de Génie Electrique de Grenoble (G2ELab), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology, and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)

Subjects
010302 applied physics, Mathematical optimization, Computer science, Magnetic reluctance, Rotor (electric), Computation, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, Process (computing), Stability (learning theory), Topology (electrical circuits), 02 engineering and technology, Network topology, 01 natural sciences, Sizing, Electronic, Optical and Magnetic Materials, law.invention, law, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Torque, Electrical and Electronic Engineering
Abstract

The aim of this paper is to discuss electrical machines building and computation while taking into account the change of reluctance network (RN) topology required in an optimization process. Indeed, as electrical machine RN changes during an electrical period, this model has to consider several rotor positions to analyze harmonic influence on machine performance (e.g., its torque and losses). Such a requirement can also be important in applications where machine geometry changes shortly during sizing process by optimization. These two cases are addressed in this paper. Using established independent meshes of the initial RN, this paper proposes an algorithm to deal with all topologies necessary for an optimization process. This aims to reduce the computation time, increase the model, and improve the solving stability. An output selectivity approach is also applied on the RN modeling to improve the computation time of the optimization process. The simulation results are compared to finite-element methods and the optimization performance is presented.

Published
2014

4. A Hybrid Boundary Element Method-Reluctance Network Method for Open Boundary 3-D Nonlinear Problems

Author

Jean-Louis Coulomb, Douglas Martins Araujo, Olivier Chadebec, Loic Rondot, Laboratoire de Génie Electrique de Grenoble (G2ELab), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology, and Schneider Electric Industries S.A.S.

Subjects
Magnetic reluctance, Computer science, magnetostatics, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Scalar potential, Mixed finite element method, Boundary knot method, Magnetostatics, Singular boundary method, Finite element method, boundary element method, Electronic, Optical and Magnetic Materials, Nonlinear system, reluctance network method, Control theory, coupled numerical methods, Method of fundamental solutions, Torque, Actuator modeling, Electrical and Electronic Engineering, Actuator, Boundary element method, Extended finite element method
Abstract

International audience; A scalar potential formulation coupling a hybrid boundary element method and a reluctance network method is presented tosolve 3-D nonlinear magnetostatic problems. The computation times and the accuracy of this approach are compared with those ofthe finite element method in the context of force and torque evaluations. It is shown that this method could efficiently be used forthe presizing of actuators. Discussion concerning the advantages of this approach compared to a pure reluctance network methodis also presented.

Published
2014

5. Computation Code of Software Component for the Design by Optimization of Electromagnetic Devices

Author

Lauric Garbuio, Laurent Gerbaud, Hao Nguyen-Xuan, Frédéric Wurtz, Laboratoire de Génie Electrique de Grenoble (G2ELab), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology, and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)

Subjects
Resource-oriented architecture, Computer science, Static program analysis, computer.software_genre, Software sizing, Multilayered architecture, Software system, Reference architecture, Electrical and Electronic Engineering, Software design description, computer.programming_language, Hardware architecture, Software visualization, Object-oriented programming, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Search-based software engineering, Software development, Electronic, Optical and Magnetic Materials, Software framework, Computer engineering, Component-based software engineering, Software construction, Software design, Model-driven architecture, Software architecture, business, computer
Abstract

This paper deals with the formulation and programing of architecture of software component generated by Reluctool. This software tool allows the modeling of large reluctance networks of electrical machines. Portable model formulation and code architectures are introduced facing the model generation time, the model size, and the computation time. Different approaches are discussed to improve this aspect. Finally, the code architecture is compared with the actual code architecture of the commercial and previous version of Reluctool.

Published
2014

6. Test of a Twin Coil HTS SMES for High Power Pulse Operation

Author

P. Dedie, Pascal Tixador, Arnaud Badel, Magnétisme et Supraconductivité (MagSup), Institut Néel (NEEL), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Génie Electrique de Grenoble (G2ELab), and Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology

Subjects
010302 applied physics, Materials science, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Electrical engineering, High voltage, Superconducting magnetic energy storage, Pulsed power, Condensed Matter Physics, 7. Clean energy, 01 natural sciences, Energy storage, Electronic, Optical and Magnetic Materials, law.invention, Inductance, Capacitor, Nuclear magnetic resonance, law, Electromagnetic coil, 0103 physical sciences, Electrical and Electronic Engineering, 010306 general physics, business, ComputingMilieux_MISCELLANEOUS, Coil tap
Abstract

We designed and constructed a twin coil conduction-cooled HTS SMES (Superconducting Magnetic Energy Storage using High Temperature Superconductor) for pulse power operation and sequential discharge. The distance between the two coils and their respective inductances were calculated to obtain identical energy during sequential discharge. Both coils are designed for high voltage operation up to 4 kV. Moreover, the second coil is split in 3 to test the XRAM principle, which consists in charging inductances in series and discharging them in parallel to sum up their currents. The upper coil reached its rated current (250 A), it was tested up to 3 kV during fast discharge in a power capacitor. The lower coil, rated at 300 A, was tested in XRAM operation up to 200 A, the current output thus reaching 600 A. The characteristics of the demonstrator will be introduced; the experimental setting will then be presented along with the tests results.

Published
2011

7. Automatic Differentiation Applied for Optimization of Dynamical Systems

Author

Petre Enciu, Frédéric Wurtz, Laurent Gerbaud, Laboratoire de Génie Electrique de Grenoble (G2ELab), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology

Subjects
Dynamical systems theory, Automatic differentiation, Truncation, Computer science, Fortran, Differential equation, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, Constrained optimization, Time evolution, 010103 numerical & computational mathematics, 02 engineering and technology, Dynamical system, 01 natural sciences, Electronic, Optical and Magnetic Materials, Numerical integration, High-level programming language, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Electrical and Electronic Engineering, Algorithm, computer, computer.programming_language
Abstract

International audience; Abstract—Simulation is ubiquitous in many scientific areas. Applied for dynamic systems usually by employing differential equations, it gives the time evolution of system states. In order to solve such problems, numerical integration algorithms are often required. Automatic Differentiation (AD) is introduced as a powerful technique to compute derivatives of functions given in the form of computer programs in a high level programming lan- guage such as FORTRAN, C or C++. Such technique fits perfectly in combination with gradient based optimization algorithms, provided that the derivatives are valued with no truncation or cancellation error. This paper intends to use Automatic Differentiation employed for numerical integration schemes of dynamical systems simulating electromechanical actuators. Then, the resulting derivatives are used for sizing such devices by means of gradient based constrained optimization.

Published
2010

8. Reducing Sensitivity Analysis Time-Cost of Compound Model

Author

Benoit Delinchant, Frédéric Wurtz, E. Atienza, Laboratoire de Génie Electrique de Grenoble (G2ELab), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology, and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)

Subjects
010302 applied physics, Mathematical optimization, Computer science, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, Finite difference method, Finite difference, 02 engineering and technology, 01 natural sciences, Time cost, Finite element method, Electronic, Optical and Magnetic Materials, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering
Abstract

International audience; This paper deals with the sensitivity analysis of compound models in the case of gradient based optimization. Multidisciplinary optimization (MDO) may use time-consuming analysis such as the finite-element method (FEM) resolution, their sensitivity analysis must then be managed efficiently in order to limit their evaluations. A composition model implementation based on differential propagation mechanism has been used. Different solutions of sensitivity analysis based on forward finite difference are proposed at the level of each inner model. These solutions have been implemented for the design of a transformer, using mixed modeling (FEM + analytic). It has led to a reduction by a factor of two then three of an optimization iteration time cost.

Published
2004

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