index - ESEO-AGE

Automatique et Génie Electrique

L'équipe AGE prend appui sur le développement des énergies renouvelables (EnR) dans le paysage de la production d'énergie électrique et travaille au pilotage et à l'optimisation des réseaux électriques intelligents.

L'équipe est rattachée à l'IREENA - EA 4642, Institut de recherche en Energie Electrique de Nantes Atlantique.

 

Thématique de recherche :

smart grids; smart power; énergies renouvelables; pilotage et optimisation de l'énergie électrique ; contrôle des systèmes dynamiques

 

Mots clés

Discrete model Active Front Steering Global Chassis Control Stators Arduino MEGA 2560 Finite element methods Hybrid power system Filtres à moyenne glissante Decentralized control Conductors Gestion de l’énergie Dijkstra’s algorithm CO2 Emission Field distribution Conducting materials Geometry Boost converter Centralized Multilayer Control DC microgrid Energy Management Frequency Adaptive filtering Genetic algorithm Anticontrol Heat transfer Control system architecture Hysteresis current mode control Global Chassis Control Active Suspension Acceleration Dynamics Temperature distribution DC-DC power converters Electromagnetic compatibility Automotive control Global Chassis Control GCC Forecasting errors Switching piecewise-constant controller Active Front Steering ADHERENCE PNEU ROUTE Experimental study Grid connected Fuzzy Logic Control Centralised control Control Architectures Active suspensions DYNAMIQUE Geometrical shape Electromagnetic fields Fundamental transition matrix Autonomous Vehicles Circuits Hybrid Energy Storage Durability Energy management Hinf Energy Management Optimization CO2 Emissions Reduction Household appliances Filtering Independent chaotic attractors Insulation Coût total du système Bifurcation Buck converters Automotive systems Energy Storage System Sizing Electric vehicle Electromagnetic induction Chaotic behavior Fuzzy Logic Centered moving average filters Battery Electric Vehicle Sizing Optimization Finite element method Energy management system Mathematical model Initial conditions Vehicle dynamics Direct Yaw Control Anticontrol of chaos Electromagnetic interference Energy Economy Energy management strategy Monodromy matrix Electric Vehicle Magnetic fields Hourly modelling strategy Global chassis control Chaos Characteristic multiplier Super-Twisting Sliding Mode Control Dc-dc power converters Buck converter Cost control Active Suspensions Composite materials Temperature measurement Equations Filippov method H∞ control Energy Consumption