Parameter estimation for knowledge and diagnosis of electrical machines

International audienceThe type of control system used for electrical machines depends on the use (nature of the load, operating states, etc.) to which the machine will be put. The precise type of use determines the control laws which apply. Mechanics are also very important because they affect performance. Another factor of essential importance in industrial applications is operating safety. Finally, the problem of how to control a number of different machines, whose interactions and outputs must be coordinated, is addressed and solutions are presented. These and other issues are addressed here by a range of expert contributors, each of whom are specialists in their particular field. This book is primarily aimed at those involved in complex systems design, but engineers in a range of related fields such as electrical engineering, instrumentation and control, and industrial engineering, will also find this a useful source of information

Estimation paramétrique pour le diagnostic des processus : Application à la bobine à noyau de fer

International audienceLe travail présenté dans cet article concerne la mise en oeuvre d'une méthodologie de diagnostic des procédés industriels basée sur l'estimation paramétrique. Cette technique s'appuie sur une modélisation de la signature de défaut en associant au mode commun (modèle sain) un mode différentiel (modèle de défaut) qui traduit le dysfonctionnement. L'identification des paramètres du modèle commun indique donc l'état dynamique du système, tandis que le suivi d'évolution des paramètres du mode différentiel permet la détection et la localisation du déséquilibre. Notre méthodologie a été validée expérimentalement sur une bobine à noyau de fer dédiée au diagnostic des défauts de type réduction et court-circuit de spires

Soft sensor design for power measurement and diagnosis in electrical furnace: A parametric estimation approach

International audienceIn this paper, we propose as a first step a software solution to measure the electrical power consumed in an industrial furnace intended essentially for heat treatments. The soft sensor is constructed from the power physical measurement taken as the output of the set (dimmer + resistances), and the control signal measurement provided by a controller with an unknown structure. The second step consists in a detection of faults like a resistance disconnection, for instance. This phase requires the knowledge of the controller model and the furnace system. An overparametrization method was chosen for the controller estimation. An indirect closed-loop Input-Output (IO) identification approach was used for the furnace model estimation through a Tailor-Made and a decomposition of the closed-loop algorithms. A validation with two other experimental tests concludes the paper

Modeling for gas flow measurement consumed by a boiler. Towards a low cost sensor for energy efficiency

International audienceThis paper deals with the modeling of the gas flow supplied to a boiler in order to implement a soft sensor. This study is a part of ANR CHIC project which has an aim to minimize the measuring chain cost in the energy efficiency improvement programs. This implementation requires the estimation of a mathematical model that expresses the flow rate from the control signal of the solenoid valve and the gas pressure and temperature measurements. Two types of models are studied : LPV (Linear Parameter Varying) model with pressure and temperature as scheduling variables and a non-parametric model based on Gaussian processes

Low cost power and flow rates measurements in manufacturing plants

International audienceThe ability to measure, monitor and control energy consumption at several key locations in a manufacturing plant is a major prerequisite for any efficient energy management program. To identify and evaluate energy savings, one must get a clear view of how the energy is used. Furthermore, measuring energy flows is one of the necessary conditions for long lasting energyefficient solutions. Most of the time energy managers are reluctant to put in place power and flow rate measuring devices either because of their cost or because this implies stopping production. To find acceptable and economical solutions for long lasting energy measurements in Industry, EDF R&D launched a 3-year collaborative research project called CHIC. This project is funded by the French National Research Agency (ANR) and involves 7 partners. Its total budget amounts to 2.55 M€. This project serves two purposes: to build a clamp-on power meter that could be installed around multi-conductors power cables without interrupting power supply, and to build power and flow meters that derive the sought-for variable from mathematical models and from simple and easy to collect other physical measurements (e.g. command signals, etc...)

Fostering Energy Efficiency in manufacturing plants through economical breakthroughs in power and flow rate measurement

International audienceThe ability to measure, monitor and control energy consumption at several key locations in a manufacturing plant is a major prerequisite for any efficient energy management program. To identify and evaluate energy savings, one must get a clear view of how the energy is used. Furthermore, measuring energy flows is one of the necessary conditions for long lasting energy-efficient solutions. Most of the time energy managers are reluctant to put in place power and flow rate measuring devices either because of their cost or because this implies disrupting production. To find acceptable and economical solutions for long lasting energy measurements in Industry, EDF R&D launched a 3-year collaborative research project called CHIC. This project is funded by the French National Research Agency (ANR) and involves 7 partners. Its total budget amounts to 2.55 M€. Because energy measuring devices acceptability relies mostly on their ability to be installed without disrupting production as well as on their installation and maintenance costs, two non intrusive and low cost technologies will be explored within the project: A physical approach is being used to build a clamp-on power meter that could be installed around multi-conductors power cables without interrupting power supply, A software based approach is being used to build power and flow meters that derive the sought-for variable from models and from simple and easy to collect other physical measurements (e.g. command signals, etc...). Introductio

Nonlinear system identification in presence of nuisance parameters

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Fractional Modelling Applied to Heat Conductivity and Diffusivity Estimation

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Identification and parameter estimation of non-linear physical systems

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Modelling and simulation of fractional systems

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