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

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