Stéphane Caux

Kalman-Filter-Based Indicator for Online Interturn Short Circuits Detection in Permanent-Magnet Synchronous Generators

Kalman filtering has been largely used in adaptive control for motor drive applications. However, few works relate to applications in the field of monitoring. In this paper, a fault indicator for interturn short circuits detection in permanent-magnet synchronous generators (PMSGs) is introduced. Based on the extended form of the Kalman filter and associated to an appropriate model of PMSG expressed in the

Multiphase System for Metal Disc Induction Heating: Modeling and RMS Current Control

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Optimization of the Settings of Multiphase Induction Heating System

frame, this indicator has been developed through the identification of parameters specifically introduced to point out stator faults. Special attention has been paid to the indicator sensitivity and its robustness to the generator operation mode, which implies a large range of operating points. The indicator performances have been first evaluated using an appropriate simulation model. A complete experimental campaign has been performed to validate previous simulation results. A faulty PMSG, specifically built for stator fault experiments, has been associated to a digital signal processor for an online implementation of the proposed indicator. Finally, the issue of parameter uncertainties is solved by introducing a variable threshold for detection improvement.

Optimization of the settings of multiphase induction heating system

This paper presents a multiphase induction system modeling 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 the 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 electronics. An optimization procedure calculates the optimal supply currents in the inverters in order to obtain a desired power density profile in the work piece. This paper deals with the simulated and experimental results which are compared in open loop and closed loop. This paper ends with a current control method which sets rms inductor currents in continuous and digital conditions.

Robustness of a Resonant Controller for a Multiphase Induction Heating System

This paper deals with the setting-parameter optimization procedure for a multiphase 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.

Velocity sensorless control of a PMSM actuator directly driven an uncertain two-mass system using RKF tuned with an evolutionary algorithm

This paper deals with the setting-parameter optimization procedure for a multiphase 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.

On-line HEV energy management using a fuzzy logic

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 current reference 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, inducing some modifications in the system parameters. These disturbances will be rejected by the resonant controllers whose pole and zero variations are investigated. In addition, the tuning method for the 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.

Robustness of a resonant controller for a multiphase induction heating system

This paper proposes a solution to tune an observer keeping robust closed loop performances for the sensorless motion control of an uncertain mechanical load directly driven by a PMSM through a flexible axis. An evolutionary algorithm optimizes the observers degrees of freedom. Experiments show that performances are effectively maintained.

Resonant control of multi-phase induction heating systems

This paper presents different methods and approaches allowing a better energy management for Hybrid Electrical Vehicle presenting a multi-source system, in order to increase its autonomy, reduce the costs of its energy consumption and decrease pollutant emission. The main goal sought is to minimize the battery discharge allowing the vehicle to make a maximum number of cycles (repeating the same mission), while respecting constraints related to the energy system functioning and design of both sources. To do this, a fuzzy approach is proposed, and tuned using an evolutionary algorithm, to finally manage on-line the dispatching of electrical energy minimizing the consumption criterion thus increasing vehicle autonomy. To measure the quality of the on-line solution, off-line study is realized on a known mission profile and optimization based on a nonlinear modeling of the problem due to the sources characteristics is used. The problem is solved using optimization techniques which give a good global optimum in order to compare it with the battery discharge obtained on-line.

Optimal LQI Synthesis for Speed Control of Synchronous Actuator under Load Inertia Variations

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 current reference 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, inducing some modifications in the system parameters. These disturbances will be rejected by the resonant controllers whose pole and zero variations are investigated. In addition, the tuning method for the 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.