Multi phase system for metal disc induction heating: modelling and RMS current control

This paper presents a multi phase induction system modelling for a metal disc heating and further industrial applications such as hot strip mill. An original architecture, with three concentric inductors supplied by three resonant current inverters leads to a reduced element system, without any coupling transformers, phase loop, mobile screens or mobile magnetic cores as it could be found in classical solutions. A simulation model is built, based on simplified equivalent models of electric and thermal phenomena. It takes into account data extracted from Flux2D® finite element software, concerning the energy transfer between the inductor currents and the piece to be heated. It is implemented in a versatile software PSim, initially dedicated to power electronic. An optimization procedure calculates the optimal supply currents in the inverters in order to obtain a desired power density profile in the work piece. The paper deals with The simulated and experimental results are compared in open-loop and closed loop. The paper ends with a current control method which sets RMS inductor currents in continuous and digital conditions

Fuzzy controller tuning of a boost rectifier unity power factor correction by experimental designs

This paper shows the validity of experimental designs as an efficient on-site tuning tool for fuzzy controllers, dedicated to electrical engineering applications with multi-objective criteria. Our purpose is to improve the input and output system characteristics that is to say the global quality of the electrical power in a boost rectifier with unity power factor correction. The desirability notion combines here time dynamic and harmonic criteria, it illustrates the trade-off that has to be satisfied between the different properties

OrdoNet, un outil de modélisation et d'analyse des graphes potentiel-tâche sous Matlab

Dans cet article, nous présentons le logiciel OrdoNet, une interface développée sous Matlab pour la représentation et l’analyse des graphes potentiel-tâche. Cet outil a été spécifiquement conçu dans une optique pédagogique, pour aider les étudiants à mieux maîtriser la modélisation par graphes et les concepts liés à la planification ou à l’ordonnancement d’activités. OrdoNet est actuellement utilisé au département Génie Electrique et Automatique de l’ENSEEIHT dans le cadre d’une manipulation de travaux pratiques en Automatique, illustrant les enseignements théoriques liés aux graphes et à l’ordonnancement de tâches

Motion control of elastic joint based on kalman optimization with evolutionary algorithm

Actual industrial ambition is to remove a maximum of sensor to improve reliability and cost. Performances are then decreasing a lot, specially for a system with variable parameters and direct drives. Moreover, a two-mass system representing numerous class of industrial problem can become unstable. Keeping stability, a simple controller and observer tuning approach and a lower time consuming are main goals of this study. A previous calculated state feedback is used as base for two Kalman filters with special a noise matrix. An evolutionary algorithm optimizes observer's degrees of freedom to keep stability all over the stiffness variation. The results show that the stability and performances are kept on an experimental test bench

HEURISTICS AND LOWER BOUND FOR ENERGY MANAGEMENT IN HYBRID-ELECTRIC VEHICLES

International audienc

A better alternative to dynamic programming for offline energy optimization in hybrid-electric vehicles

International audienceThis article focusses on the well-known problem of energy management for hybrid-electric vehicles. Although researches on this problem have recently intensified. Dynamic programming (DP) is still considered as the reference method because it obtains the best solutions of the literature so far, even though it requires a significant computational time. This article however, describes two heuristic-global-optimization-based algorithms that not only require less computational time than DP, but also produce better solutions, with significantly lower fuel consumption cost

Modelling and control of a multi phase induction system for metal disc heating

This paper presents the study of a multi-phase induction system for metal disc heating. It proposes a complete electrical and thermal modelling of the whole system in PSim software, with a reduced simulation time. An optimisation procedure allows us to calculate the optimal parameters for calibrating the system in order to obtain a uniform heating of the work piece. This was possible from the knowldege of the current density distribution extracted from the finite element software Flux2D® and from the impedance matrix that describes the electrical behaviour of the three coils suuplied by current source inverters. This studies also concern a first simple current control method. As a result, the experimental thermal distributions are in good agreement with simulated ones

Robustness of a resonant controller for a multiphase induction heating system

This paper presents a robustness study of the current control scheme for a multiphase induction heating system. Resonant control has been chosen in order to achieve a perfect currentreference tracking in the inductors with different solutions from the literature. A simplified model of the system is given; it is based on data extracted from finite-element software, including a model of the energy transfer between the dc source and the currents. The metal sheet resistivity will change with temperature, inducingsome modifications in the system parameters. These disturbances will be rejected by the resonant controllers whose pole and zerovariations are investigated. In addition, the tuning method forthe resonant controllers is detailed when the sampling frequency/switching frequency ratio is very low. Some specific stability zones are defined for the resonant controller gains. The application is currently developed on a test bench devoted to disc induction heating

Optimization of the settings of multiphase induction heating system

This paper deals with the setting parameter optimization procedure for a multi-phase induction heating system considering transverse flux heating. This system is able to achieve uniform static heating of different thin/size metal pieces without movable inductor parts, yokes or magnetic screens. The goal is reached by the predetermination of the induced power density distribution using an optimization procedure that leads to the required inductor supplying currents. The purpose of the paper is to describe the optimization program with the different solution obtained and to show that some compromise must be done between the accuracy of the temperature profile and the energy consumption, with the calculation of the losses

Smart Datacenter Electrical Load Model for Renewable Sources Management.

Nowadays, datacenters are one of the most consuming devices due to the increase in cloud, web-services and high performance computing demands all over the world. To be clean and without connection to the grid, datacenters projects tempt to feed electricity with renewable energy sources and storage elements. This power production needs an energy management providing power envelopes as a constraint to the datacenter management system. This paper presents an optimization module that optimizes the IT load under renewable energy constraints and outputs the power consumed by the computing resources of a datacenter. We are able to obtain a reduction of up to 73% in the tasks violations while respecting a given power envelop