Campus

Arts et Métiers Campus Arts et Métiers Paris

Background

With the rise of smart, connected structures and systems, today's mechanical products increasingly incorporate electronics, computing, sensors, and actuators. This adds numerous features such as on-board diagnostics, the ability to react to their environment, and increased interaction with humans. For several years now, the term " mechatronics " has been used to refer to such systems, the design of which, by definition, requires multidisciplinary knowledge.

Objectives

The "Mechatronics" expertise unit trains engineers capable of (a) comprehending the design and implementation of complex systems (intelligent, connected, etc.) in their entirety, (b) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation, and IT, (c) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation, and IT, (d) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation, and IT, (e) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation, and IT, (f) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation, and IT, (g) identifying and mastering the constraints of integrating these systems combining mechanics, electronics, automation etc.), (b) identify and master the constraints of integrating these systems combining mechanics, electronics, automation, and IT, and (c) design and develop methods for testing and validating the whole system.

Program

• Module 1: Mechanics, Mr. Guskov

Multi-body mechanical systems such as industrial machines or robots often perform complex movements. This module focuses on describing the trajectories of these systems (kinematic parameterization) and the relationship between their movements and the actions that determine them (forward and inverse dynamics). Students will learn how to input data for kinematic or dynamic simulation of the behavior of a complex mechanical system and interpret the results, with a view to designing the control system for such a system or dimensioning its actuators and sensors, for example.

 Module 2: Automatic, Mr. Guillard

This advanced control course deals with robust control of multivariable systems. Its objectives are to present an overview of control techniques for dynamic multivariable, linear, complex systems and to study the practical and theoretical difficulties posed by a number of solutions based on knowledge of a mathematical model (state system) representing the system. After presenting the formalism used to analyze the robustness of a closed-loop multivariable system (unstructured uncertainties, singular values), various robust control laws that are particularly well suited to practical applications are studied: LQ/LTR control, H-infinity control.

• Module 3: Data Estimation and Fusion for Mechatronics, Mr. Mechbal

Over time, estimating the position, attitude, orientation, or structural state of a complex body/system/structure has become an important scientific and industrial challenge (for example, in aerospace, robotics, motion capture, or even monitoring and detecting defects/damage). In conjunction with dynamic models, sensors & actuators, and control laws, this course aims to provide toolsforestimating andidentifying the characteristics of complex systems or processes based on linear and nonlinear Bayesian approaches (Kalman filter, particle filtering, etc.) for the control, localization, and diagnosis of mechatronic systems. These tools are essential for recalibrating a mathematical model based on measurements, estimating the unmeasured component of a state vector, or "localizing" a mobile system using data fusion.

• Module 4: Computer Science for Intelligent Systems, Mr. Boulaire

Computer science is at the heart of the "intelligent" part of complex mechatronic systems. It is therefore necessary to master these tools in order to be able to implement a control law, an estimation process, or an artificial intelligence algorithm in real time. The objective of this course is to provide an introduction to programming in C++, Python, and ROS (Robotics Operating System). These tools will be applied in different contexts and case studies will complement the course.

• Module 5: Sensors and Actuators, Mr. Rebillat

With smart objects omnipresent in our daily lives and in the industrial world, this course aims to provide future A&M engineers with the knowledge they need to design and select actuators and sensors for the applications they will encounter in their careers. Concrete and varied examples are covered in practical sessions and projects using Arduino and Raspberry Pi platforms.

• Module 6: Human-machine interface – HMI, Mr. Garbaya

As part of the transformations currently taking place in industry, human-machine interfaces (HMIs) are becoming increasingly important. An HMI is the interface that connects the operator to the control device of an industrial system or the link between a connected smart object and its user. This course aims to introduce human-machine interfaces, understand and implement design ( goal-driven design) and evaluate interactive systems . Several specific HMIs will be discussed, such as virtual reality and augmented reality interfaces, immersive visual interfaces, haptic feedback interfaces, and 3D sound interfaces.

• Module 7: Case studies / Lectures / Seminars

Through real-life case studies and lectures given by external speakers (engineers, directors, and R&D experts, etc.), students will have the opportunity to gain a comprehensive understanding of the design and implementation of complex mechatronic systems, as well as the reality of the challenges underlying these new technologies.

•  In-depth project

Application and consolidation of knowledge acquired through participation in a group competition or challenge (4-6 students) on a given topic.

Examples of projects and internships

•  Learning the Digital Twin with Poppy, the open source Humanoid Robot
• NAO Car

Assessment methods

• Grade per module: midterm tests, personal assignments, lab grades, and final exam.
• Final grade: weighted average of each module.

Key scientific and educational leaders

• N. Mechbal - Manager - +33 (0)1 44 24 64 58
• Mr. Rebillat
• Mr. Guskov
• R. Boulaire
• S. Garbaya
• H. Guillard (CNAM)

Practical information

• Level: Graduate
• Course Language: French
• Period: February - June
• Number of hours: 150 hours
• ECTS credits: 13

Keywords

#Mechatronics #MechanicalModeling #Control #Identification #FaultDetectionEstimation #AnalogAndDigitalElectronics #Sensors #IntegratedDesign

Campus

Naval Academy, 29160 Lanvéoc, France

Pedagogy

The objective of this training program is to provide in-depth knowledge and the tools necessary for the development of research and development activities applied to the fields of naval and nautical engineering. 

Training schedule

This training program lasts two years. 

Master of Science :

The first year is offered at the Arts et Métiers campus Arts et Métiers Paris through the "Factory of the Future - Energy" program.

Master of Science :

In the second year, the program includes one semester of classes.

The first semester of the M2 is organized according to a standard academic program consisting of 8 modules (to be chosen from a total of at least 30 ECTS):

•  "Introduction to Research" 120 hours (in English, compulsory) 12 ECTS
• Applied Naval Hydrodynamics 81 hours (compulsory), 5 ECTS
• "Advanced Physical Hydrodynamics" 46 hours, 5 ECTS
• "Numerical Hydrodynamics" 26 hours, 4 ECTS credits
• Energy Conversion / Marine Renewable Energy, 22 hours, 2 ECTS
• "Sustainable Development and Marine Environment Monitoring" 51 hours, 2.5 ECTS
• "Advanced Signal Processing" 30 hours (4 ECTS)
• English 8 p.m. (compulsory) (1 ECTS)  

The program is based on various practical exercises carried out using IRENav's advanced experimental research and modeling resources.

The introductory research module takes the form of an individual research project. The aim of the module is to tackle a research topic under the guidance of a teacher-researcher, allowing students to immerse themselves in the laboratory and gain practical experience of research work.

The second semester is devoted to an immersion research internship lasting several months (approximately 5) in a company or research unit (school or university). It is possible to complete this semester abroad. 

Objectives 

• Cutting-edge expertise and experience in the fields of naval engineering, boating, and the maritime environment
• Conducting R&D on an industrial problem, identifying a topic, and developing a research project
• Present (orally and in writing), disseminate, and communicate research findings

Key scientific and educational leaders in the field

The training is mainly provided by teachers, teacher-researchers, and staff from the Naval Academy Research Institute (EA 3634 – Naval Academy laboratory under the supervisionArts et Métiers):

• 3 University professors in mechanics, hydrodynamics, and information systems.
• 2 Associate professors with HDR (Habilitation à Diriger des Recherches, or accreditation to supervise research) in electrical engineering and signal processing.
• 10 Senior Lecturers in Mechanics, Hydrodynamics, Signal Processing, Acoustics.
• 6 Experts in mechanical engineering and hydrodynamics

Related technology platform

The training program draws on the research and experimentation resources ofthe Naval Academy Research Institute:

• Hydrodynamic platform: cavitation tunnel, Taylor-Couette device
• Nautical platform: instrumented sailboat
• Digital platform: fluid and structural calculation software 

Assessment and validation procedures

Each training module is assessed by means of a written exam or the drafting of a study report.

The introductory research module is assessed through the writing of a scientific article and an oral presentation, as might be required for an international scientific conference.

The research internship is assessed by means of a written thesis (approximately 50 pages) and an oral defense presented before a jury composed of faculty members from the Naval Academy.

A panel of faculty members from the Master of Science program Master of Science a midterm and final evaluation: this includes a review of grades and the approval of course modules and the internship. 

Career opportunities

Doctorate, R&D in the maritime and nautical sector 

Targeted companies

Large corporations and SMEs in the maritime, energy, and boating sectors

Admissions

Admission requirements

• Required level: Master's degree or equivalent – Mechanics, energy, engineering sciences
• Equivalent international level
• Level of French: be able to follow a science course in French
• English proficiency: ability to write scientific papers and present findings orally in English 

Application deadline(s)

• French students: June 15
• International students (especially those who need a visa): end of April 

Partners

Industrial partner(s)

• Naval Group (formerly DCNS), THALES, numerous SMEs, sailing race teams

Institutional partner(s)

• Atlantic Brittany Maritime Cluster, France Marine Energies 

University partner(s)

• University of Auckland, University of Edinburgh, Chalmers University of Technology, University of Michigan, Politecnico di Milano, University of Western Brittany, ENSTA Bretagne, IFREMER, Ecole Centrale de Nantes, Paris Sud University, Ecole Polytechnique

Practical information

• Course language: French, English for the English module and the research initiation project presentation
• Timeline: early September 2021, internship starting in early March 2022, internship defense in September 2022
• Number of hours: 246 hours of lectures/tutorials, 24 hours of practical work, 126 scheduled project hours
• ECTS credits: 60 ECTS
• Cost: see university registration fees (ENSAM)
• Training location(s): Naval Academy, Lanvéoc (plus visits and boarding of French Navy vessels, conference in Brest)

Contacts

Magalie LAMANDE : +33 (0)2 98 23 41 41