Categories: General Date: Jan 20, 2017 Title: EMR'17 Summer School
19th – 21st June 2017
University of Lille 1, L2EP, Lille, FRANCE
EMR'17, " Modelling and control using EMR,
application to HEVs and others"
Download the EMR’17 flyer in PDF (English version)
This Summer School was dedicated to Master and PhD students, engineers and scientists, from both academia and industry, which have to model and control new multi-physical systems such as industrial multi-drive systems, traction and propulsion systems, hybrid electric vehicles, or renewable energy generation systems.
EMR'17 has been successfully organized by University Lille1. There were 63 attendees from 8 countries, 5 lectures on concepts, 14 lectures on applications, 3 simulation sessions, and 1 practice session. University Lille1 has provided attendance certification for French students (Doctoral School) and 3 ECTS to Master and PhD students from other countries.
Photos of EMR'17, Lille, France
This workshop is focused on the Energetic Macroscopic Representation (EMR) methodology for modelling and control of complex electromechanical systems.
This Summer School is aimed at Master and PhD students, Engineers and scientists, from both academia and industry, who have to model and control new multi-physical systems such as industrial multi-drive systems, traction and propulsion systems, hybrid electric vehicles, or renewable energy generation systems.
EMR is a graphical modelling tool that was introduced in 2000 to describe complex electromechanical systems. EMR has since been extended to complex multi-physical systems (combining thermal science, electrochemistry, fluid mechanics…). EMR is based on the action-reaction principle to organize the interconnection of sub-systems according to the physical causality (i.e. integral). This description highlights energetic properties of the system (energy accumulation, conversion and distribution). Moreover, an inversion-based control can be systematically deduced from EMR using specific inversion rules.
Compared with other graphical description tools, such as Bond Graphs or Causal Ordering Graphs (COG), EMR has a more global energetic view and contributes to system’s control design. It differs from structural modelling tools such as Physic Modelling Language (PML) using Object-Oriented Modelling Language, which makes its libraries to be coupled in the same way as physical units. EMR is focused on the system function and not only on the system structure. EMR gives insights into the real energy operation of systems and allows a deep understanding of its potentialities from a dynamic point of view.
In short, the distinct features of EMR lie in its clarity of physical concepts, as well as their physical causality, and its functional modelling rather than a structural modelling. It hence contributes significantly to the design of control and energy management of systems.
Dr. Ali CASTAINGS
Prof. Alain BOUSCAYROL