A binary classification methodology applicable to defects detection. Boosting algorithms

This article presents a binary classification method which is used in defects detection. It's presented as recursives “boosting” algorithms which allow us to obtain a precise discriminating function by combination of hypothesis and rules with moderate accuracy. This approach permits the study of random phenomena governed by nonparametric laws and a direct decision for the observations classification and the determination of frontiers in an observation space. The various analyses which will be developed are illustrated by simulations making it possible to evaluate the possibilities of the method

Nouvelle version adaptative de l’algorithme du boosting : optimisation du critère d’erreur et comparaison avec un perceptron multicouches

International audienc

Modeling, Control and Optimization of a Small Scale CHP System in Island operating Mode based on Fuzzy logic controller

International audienceThis paper presents the modeling, controlscheme and optimization of a small scale combined heat andpower (SSCHP) in island operating mode. A thermo dynamicmodel is carried out for SSCHP engine using Carnot machinemethod, while an optimization technique is formulated toidentify CHP engine parameters. In addition, a dynamic model isbuilt based on a system identification toolbox for SSCHP engineto study the dynamic behavior of the SSCHP during operatingmode. In island mode, the Fuzzy logic controller (FLC) is usedto regulate the inputs of SSCHP, and to match electric loaddemand. The complete system was represented and simulated inMatlab/Simulink

A New Observer Design for Aging Detection of Supercapacitors

International audienc

Analysis, Modeling, and Control of an AC Microgrid System Based on Green Energy

International audienceThe integration of distributed generators (DGs), electricstorage system (ESS), distributed electric loads and the utilitygrid through the point of common coupling is called microgrid(MG) .The coordinated operation of MG and the main utilitygrid with variable load demand is controlled by using microgridcontrol center (MGCC). MGCC methodology is introduced toregulate power flow for each source depends on the outputscommands from MG energy management center (MGEMC).This paper is focused only on developing an efficient and fastMGCC based on power control mode taking into account theoutputs commands from MGEMC without considering itsstrategy. The MG in this paper is assumed to be interconnectedto the main utility gird, and can purchase some power fromutility grid at off-peak hours or when the production of the MGis insufficient to meet the load demand. On the other hand, thereis a daily income to the MG when the generated power exceedsthe load demand during on-peak hours. The proposed MGCCand electrical power system is simulated using Matlab/Simulink

Online System Identification for Lifetime Diagnostic of Supercapacitors with Guaranteed Stability

In this paper, an online system identification method is introduced for lifetime diagnostic of supercapacitors. The online strategy uses a Lyapunov-based adaptation law to estimate online the supercapacitor's parameters. Therefore, the adaptive observer's stability is guaranteed by Lyapunov's direct method. State-of-health (SoH) estimation is crucial since aging introduces degradation in supercapacitors' performance, which might eventually lead to their failure. SoH is usually measured by offline time or frequency domain characterization techniques such as spectroscopy. However, these methods require interruption of the system's operation, and hence, they are not suitable for real-time applications such as electric vehicles. Unlike other online estimation strategies, only voltage and current measurements are required. Simulation and experimental results along with comparison against two different methods highlight the effectiveness of the proposed approach in estimating the SoH

Real-time implementation of four-phase interleaved DC–DC boost converter for electric vehicle power system

This paper proposes an advanced online self-tuning controller design for Four Phase Interleaved Boost Converter (FP-IBC), which is based on MATLAB-dSPACE Real-Time Interface Libraries (MLIB/MTRACE). The proposed controller consists of a Self-tuning Lead-Lag Compensator (SLLC) designed using Small-Signal Model (SSM). The controller's parameters are tuned online to achieve fast convergence and good tracking response when parameters vary. The converter along with its advanced controller is tested experimentally at different loading conditions using two different power sources, i.e., Super-capacitor (SC) and battery modules. The experimental results show that the dynamic response of FP-IBC is significantly improved based on the proposed control design

Four-phase interleaved DC/DC boost converter interfaces for super-capacitors in electric vehicle application based onadvanced sliding mode control design

International audienceElectricvehicles(EVs)hasreceivedanincreasinginterestfromthepowercommunityandhavebecomeincreasinglypopularduetotheirimportanceinfightingclimatechange.Anadvancedpowerelectronicconverterremainsthemainandcommontopicforresearchinthisarea.Inthispaper,anadvancedslidingmodecontrol(ASMC)isdesignedforFourPhaseInterleavedBoostConverter(FP-IBC).Thenoveltyoftheproposedcontrollerreliesontheuseofanadaptivedelay-timeblockwiththeconventionalslidingmodecontrolschemewhichisdesignedbasedonchatteringeliminationmethod.Thenewschemesucceedtoreducetheripplecontentsintheconverter’soutputvoltageandinputscurrents,andachievefastconvergenceandtransientresponse.AnexperimentalcomparisonstudyhasbeeninvestigatedbetweentheproposedcontrollerandSelf-tuningLeadLagCompensator(SLLC).ThecomparisonstudyisperformedatdifferentloadingconditionsusingSuper-Capacitor(SC)module.TheexperimentalresultsshowthatthedynamicresponseofFP-IBCissignificantlyimprovedbasedontheproposedcontroldesig

Carrier extraction based synchronization scheme for distributed DC–DC converters in DC-Microgrid

International audienceIn this paper, a novel PWM carrier synchronization method is proposed for distributed DC-DC converters in DC-Microgrids. The synchronization method is based on carrier frequency extraction from DC-bus voltage ripple. In addition, an advanced phase shift control algorithm for the synchronized carriers is implemented to reduce the DC bus voltage ripple contents. A DC-Microgrid encompassing different distributed energy resources with their DC-DC converters is modeled using Matlab\Simulink to test the proposed synchronization method and control algorithm. Then, a small power scale experimental testbed is built in order to validate the simulation results. The simulation and the experimental results demonstrated that the proposed method and algorithm are very promising to minimize DC-bus ripple contents in DC-Microgrid applications

Power factor compensation based control scheme for permanent magnet synchronous machine drives

An adaptive fuzzy logic control (FLC) scheme is presented for permanent magnet synchronous machines (PMSMs) as an alternative to conventional control techniques. Unlike other controllers, the proposed strategy achieves speed tracking without any current loop regulation, which yields reduced complexity. However, the absence of current control leads to higher energy consumption and limits the operation range of these machines. This paper proposes a simple power factor compensation technique to decrease the machine's consumption and extent its operation range. The controller is validated through a set of simulations on an experimentally validated PMSM model. Results for different situations highlight the performance of the proposed strategy in transient, steady-state, and standstill conditions