Optimisation De La Commande D Un Onduleur Mli A Trois Niveaux De Tension Pour Machine Asynchrone
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Power Electronic Converters
A voltage converter changes the voltage of an electrical power source and is usually combined with other components to create a power supply. This title is devoted to the control of static converters, which deals with pulse-width modulation (PWM) techniques, and also discusses methods for current control. Various application cases are treated. The book is ideal for professionals in power engineering, power electronics, and electric drives industries, as well as practicing engineers, university professors, postdoctoral fellows, and graduate students.
OPTIMISATION DE LA COMMANDE D'UN ONDULEUR MLI A TROIS NIVEAUX DE TENSION POUR MACHINE ASYNCHRONE
LES PROGRES REALISES CES DERNIERES ANNEES DANS LA COMMANDE DES ONDULEURS MLI A DEUX NIVEAUX DE TENSION PILOTANT EN VITESSE VARIABLE DES MACHINES ASYNCHRONES DE MOYENNE ET GRANDE PUISSANCE ONT PERMIS D'AMELIORER SENSIBLEMENT LES PERFORMANCES. L'UTILISATION RECENTE DES ONDULEURS MLI A TROIS NIVEAUX DE TENSION EST TRES PROMETTEUSE EN RAISON DE LA CAPACITE DE CETTE NOUVELLE STRUCTURE D'ONDULEUR A AMELIORER LA QUALITE DES COURANTS DANS LA MACHINE ET A ETENDRE SA COMMANDE A DES DOMAINES DE PUISSANCE SUPERIEURS A 2 MW. NOUS DEFINISSONS LE PRINCIPE DE CALCUL ET LES LIMITES DE VALIDITE DES PRINCIPALES TECHNIQUES DE MODULATION SINUSOIDALES. CERTAINES D'ENTRE ELLES SE REVELENT ETRE TOUT A FAIT ADAPTEES ET PERFORMANTES POUR COMMANDER LA MACHINE DANS LES ZONES DE FAIBLE VITESSE. NOUS PROPOSONS ENSUITE UNE METHODE SYSTEMATIQUE DE CONSTRUCTION D'UNE COMMANDE OPTIMISEE. LES SIGNAUX SONT CALCULES POUR MINIMISER LES HARMONIQUES DE COURANT ET LES PULSATIONS DE COUPLE. CETTE METHODE EST APPLIQUEE A UN EXEMPLE CONCRET, ET LA COMMANDE EST IMPLANTEE SUR LE MICROCONTROLEUR 80C196KC. LA SIMULATION DES REGIMES ETABLIS PERMET D'AFFINER LES ETUDES QUALITATIVES DES SIGNAUX. LA BONNE CONCORDANCE ENTRE LES RESULTATS EXPERIMENTAUX ET LES RESULTATS THEORIQUES PERMET DE CONFIRMER LA CONSERVATION DES CARACTERISTIQUES DES SIGNAUX PAR LA METHODE DE GENERATION EN TEMPS REEL. L'ETUDE DE L'ASSOCIATION DE LA COMMANDE OPTIMISEE ET D'UNE LOI DE CONTROLE VECTORIEL PERMET ENFIN DE PROUVER LA FAISABILITE D'UN TEL CONTROLE. ELLE PERMET D'ENVISAGER L'AMELIORATION DES PERFORMANCES DES ENTRAINEMENTS DE GRANDE PUISSANCE EN REGIMES PERMANENT ET TRANSITOIRE SIMULTANEMENT.
Smart Energy Empowerment in Smart and Resilient Cities
International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2019, 26-28 November 2019, Taghit-Bechar, Algeria. The challenges of the energy transition in the medium term lead to numerous technological breakthroughs in the areas of production, optimal distribution and the rational use of energy and renewable energy (energy efficiency and optimization of consumption, massive electrification, monitoring and control energy systems, cogeneration and energy recovery processes, new and renewable energies, etc.). The fall in the cost of renewable energies and the desire for a local control of energy production are today calling for a profound change in the electricity system. Local authorities are at the center of energy developments by taking into account the local nature of certain energy systems, heat networks, geothermal energy, waste heat recovery, and electricity generation from household waste. On the other side, digital sciences are at the heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems. The book deals with various topics ranging from the design, development and maintenance of energy production systems, transport, distribution or storage of energy, optimization of energy efficiency, especially in the use of energy. innovation in the fields of energy production from renewable energies, management of energy networks: electricity, fluids, gas, district heating, energy storage modes: battery, super-capacitors , overseeing energy supply through supervision, control and diagnosis, risk management, as well as the design and management of smart grids: microgrid, smartgrid. This imposes the model of energy empowerment in the advent of smart cities. Empower the world’s most vulnerable energy-poor citizens and establish growing and vibrant socioeconomic communities, by academics, students in engineering and data computing from around the world who have chosen an academic path leading to an electric power and energy engineering and artificial intelligence to advancing technology for the advantage of humanity.