I- Robotics & Automation: Opportunities & Challenges
Pr. Kamal Youcef-Toumi
Robotics has evolved remarkably over the years with a great societal impact.
Advancements in research and development have made robots capable of performing complex tasks in a more efficient and reliable manner than their predecessors, a generation of primitive robots that were merely designed for menial and repetitive tasks. Robotic systems have been utilized successfully in many applications. Some can operate autonomously in accomplishing complex missions while being aware of their surroundings.
These advancements have been made possible by addressing major technical challenges. These include design, instrumentation, control systems, wireless and Internet enabled communication and networks. This presentation will look into robots as intelligent systems and the greater role they play. Such systems show capabilities in handling uncertainties, reject unexpected disturbances, adapt to new environmental situations, localize themselves and other robots, cooperate, and provide an overall supervisory intelligence. Challenges and opportunities associated with the field of robotics will be addressed.
Kamal Youcef-Toumi joined the MIT Mechanical Engineering Department faculty in 1985. He earned his advanced degrees (M.S. 1981 and Sc.D. 1985) in Mechanical Engineering from MIT. His undergraduate degree(B.S. in Mechanical Engineering awarded in 1979) is from the University of Cincinnati. Professor Youcef-Toumi's research has focused primarily on design, modeling, simulation, instrumentation, and control theory. The applications have included manufacturing, robotics, automation, metrology and nano/biotechnology. He teaches courses in the fields of dynamic systems; robotics; precision machine design and automatic control systems. Professor Youcef-Toumi was selected as a National Science Foundation Presidential Young Investigator "inrecognition of research and teaching accomplishments and academic potential." He served as a member on several professional committees of The National Science Foundation, Chairman of the Information Technology program within The Arab Science and Technology Foundation, Member of the review committee for European Union funded Network of Excellence for Innovative Production Machines and Systems, Member of the Scientific Committee for Qatar Foundation Annual Research Forum, Head of the Controls,Instrumentation and Robotics Area in the Mechanical Engineering Department at MIT, Member of the MITCouncil for International Programs, and Research and Strategy Advisor for Qatar Computing Research Institute. He is the Co-Director of the Center for Clean Water and Clean Energy at MIT and KFUPM. Professor Youcef-Toumi has served as a consultant for a several companies including AT&T Bell Laboratories,EDO Corporation, Varian Radiation Division, Gillette Corp., Delta Search Laboratories, Jentek Sensors, Morgan Stanley Co., General Electric, TEKES - National Technology Agency of Finland, Jordan Hospital, Mitsubishi Electric Corp. Penn State University-College of Medicine - Cancer Institute. He is a member of IEEE and an ASME Fellow.He served as Chairman of the ASME Dynamics Systems & Control Division Robotics Panel. He was anAssociate Editor of the ASME Journal of Dynamic Systems Measurement and Controls, the International Program Committee Chairman for the 2010 IFAC Symposium on Mechatronic Systems, and an Associate editor of the ASME's Dynamic Systems and Control Division (DSCD) Conference Editorial Board. He hasserved as Editor of several symposia/conference proceedings. Professor Youcef-Toumi is the author of over 200publications, including a textbook on the theory and practice of direct-drive robots. He holds over 30 registered/pending patents.Professor Youcef-Toumi has been an invited lecturer at over 160 seminars at companies, research centers and universities throughout the world.
II- ''Place de l'efficacité énergétique dans la lutte face aux changements climatiques''
Pr. Mohamed Benhaddadi
Climate change is the most important issue for contemporary humanity and air pollution is closely linked to the energy sector.
Global energy consumption and global greenhouse gas (GHG) emissions are steadily increasing, and the goal of limiting global temperature increase to 2 ° C by the end of this century is still possible, but will be extremely difficult to achieve. Contributing to more than 40% of global GHG emissions, the electricity sector will position itself at the heart of the decarbonization of the global economy. In this conference, we will talk about: 1. Analyze the 450 ppm climate scenario and draw a macro portrait of the main sectors of electric power capable of contributing significantly to the reduction of pollution, with particular emphasis on the leading role of renewable sources and energy efficiency .
2. Illustrate the special place of energy efficiency and, through the example of the legislation on electric motors, discuss the main parameters that have led to the emergence of North American leadership. Here, the author will show the global evolution of the energy classification of electrical machines and present experimental results relating to NEMA Premium engines, as well as the efficiency of the introduction of variable speed drives in centrifugal pump systems.
3. Show, with the example of electric machines, that energy efficiency is not the exclusive preserve of developed countries, since some developing or emerging economy countries are taking the lead in legislating, especially since it allows them at the same time to benefit from a transfer of technology and that Algeria can still take the train on the move.
Currently, scientific advisor at the Fonds de recherche du Quebec Nature and Technology FRQNT, researcher-associate at the Interdisciplinary Research Center for the operationalization of sustainable developmentCIRODD and professor at Cegep of Old Montreal. Author of more than 100 publications and 2 books, head of the organization and host of several conferences, seminars and conferences on energy and energy efficiency, areas where he is often invited as a speaker at home and abroad. 'foreign. His field of interest also covers the environment and the quality of the wave. He has helped train more than 4,000 engineers, half of them at École Polytechnique de Montréal (1997-2013) and as many at the University of Science and Technology of Bab-Ezzouar (1989-1997) and the University. of Blida (1989-1993). He has presented briefs and interventions as an expert in the Parliamentary Commission on Quebec's Energy Future and the Régie de l'énergie in Quebec, just as he has written several articles in Quebec newspapers (Le Devoir, La Presse ) and Algeria (El Watan).
Member of the Board of Directors of several institutions, including ACFAS, he has received several awards and honors, awarded by public institutions and foundations. For exceptional contribution to society, he was a 2016 recipient of the Ordre national du Québec.
III- Advances on fault tolerance and resilience of electromechanical systems
Pr. Mohamed Benbouzid
University of Brest, UMR CNRS 3744 IRDL, Brest, France
The growing demand for safety, reliability, maintainability, and survivability in power conversion and power supply systems has drawn significant research in the design of resilient or fault-tolerant systems, namely systems, which are designed to tolerate some faults or able to promptly adapt the control law (fault-tolerant control) in such a way as to preserve pre-specified satisfactory performances in terms of production quality, safety, etc. The need for these resilient or fault-tolerant systems has inspired much research for the particular case of electric machines drives. The majority of these contributions have been focused on faults in the machine, the drive or the power supply components while current trends include sensors and application fault modes. Indeed, the overall performance of electric motor/generator drives with a feedback structure depends not only on the health of the motor itself but also on the performance of the driving circuits and sensors (encoder, voltage sensors, and current sensors).
High reliability can indeed be achieved with robust or oversized systems but the industrial tendency, in particular for emerging applications, which are characterized by high survivability requirements such as offshore and marine renewable energy systems or embedded applications (i.e. aircraft, spatial, or marine electrical systems), is to design fault-tolerant power conversion systems. These systems include redundancy by adopting specific machines and drive configurations such as multiphase or multi-windings/multi-converters systems. In this context, the proposed presentation will deal with advances on electromechanical systems fault tolerance and resilience.
Mohamed Benbouzidreceived the B.Sc. degree in electrical engineering from the University of Batna, Batna, Algeria, in 1990, the M.Sc. and Ph.D. degrees in electrical and computer engineering from the National Polytechnic Institute of Grenoble, Grenoble, France, in 1991 and 1994, respectively, and the Habilitation à Diriger des Recherches degree from the University of Picardie “Jules Verne,” Amiens, France, in 2000.
After receiving the Ph.D. degree, he joined the Professional Institute of Amiens, University of Picardie “Jules Verne,” where he was an Associate Professor of electrical and computer engineering. Since September 2004, he has been with the InstitutUniversitaire de Technologie of Brest, University of Brest, Brest, France, where he is a Professor of electrical engineering. Prof. Benbouzid is also a Distinguished Professor at the Shanghai Maritime University, Shanghai, China. His main research interests and experience include analysis, design, and control of electric machines, variable-speed drives for traction, propulsion, and renewable energy applications, and fault diagnosis of electric machines.
Prof. Benbouzid is an IEEE Senior Member. He is the Editor-in-Chief of the (IRECON). He is also an Associate Editor of the , the , the the IEEE , and the IET
IV- Incorporating Topology within Machine Learning and Artificial Intelligence
Pr. Djamel Bouchaffra
The recent achievements in Deep learning (DL) in several fields heralded a change in our perception of traditional Artificial Intelligence (AI) and Machine Learning (ML). Over the past few years, AI has snowballed, and especially since 2014. The reason for this explosion is explained by the wide availability of GPUs and their computational power as well as the Tensor Flow library resources that render parallel processing ever faster, cheaper, and more powerful. The other reason is justified by the infinite storage and the big flood of data – images, structured and unstructured text (living in social media repositories). In this keynote, we first highlight the difference between conventional AI, ML and DL by focusing on novel features in connexion with learning theory. We will attempt to justify the success and limitations of DL in some dedicated applications within computer vision and information management. Finally, we show how the subfield of topology known as homology allows gaining insight into learning theory.future directions deemed necessary to pursue by students, faculties, researchers and practitioners acting in this fast moving field.
Djamel Bouchaffra is a Director of Research at the Center for Development of Advanced Technologies (CDTA). He is currently the Head of the Artificial and Machine Learning team at CDTA.Prior to this appointment, Dr. Djamel Bouchaffra was a Professor of Computer Science at Grambling State University (USA). He started his academic position at Joseph Fourier University, Grenoble (France), and a postdoc in Canada. Later, he went to the US where he held a position of Assistant Professor at Oakland University, Michigan.
Professor Bouchaffra was teaching a wide spectrum of courses including machine learning and pattern recognition, artificial intelligence, soft computing and discrete mathematics. Dr. Bouchaffra has been selected as the recipient of the Oakland University Teaching Excellence Award for 2004 (awardees) as well as the recipient of the School of Engineering Teaching Excellence Award. He was invited by OU-TV "Focus on Faculty Program" broadcasted on Comcast cable channel 74 image in the USA. Prior to this appointment, he held a position of Senior Research Scientist at the "Center of Excellence for Document Analysis and Recognition" (CEDAR) located at The State University of New York. He was a technical lead (research director) of different research groups in several federally sponsored projects. He worked as a reviewer for NASA and NSF agencies. He is currently an Associate Editor for the journal of Pattern Recognition (Elsevier).
V- Approches Commande Prédictive Et Commande Par Allocation
Pr. Maurice Fadel
Les systèmes de traitement d'énergie à base de convertisseurs statiques et les systèmes de conversion d'énergie électrique utilisant des machines électriques nécessitent des performances élevées de plus en plus exigeantes tout en préservant des conceptions simples et des mises en œuvre rapides. Ceci est d'autant plus vrai que les puissances traitées augmentent et que les convertisseurs possèdent des topologies avec de plus en plus d'interrupteurs que ce soit pour la mise en série ou la mise en parallèle. Dans ce contexte il est important de développer de nouvelles approches de commande comme la commande prédictive ou encore le contrôle par allocation.
Cette présentation propose de faire un tour d'horizon sur les avancées récentes dans ce domaine en s'appuyant sur de nombreux exemples dans le domaine des convertisseurs statiques multi niveaux et des machines synchrones à aimant dans des applications haute vitesse pour la traction électrique. Les procédures d'implantation seront également mises en avant soit à l'aide de DSPACE ou encore par programmation spécifique sur FPGA.
Maurice FADEL was born in Toulouse (France). He got the PhD degree at the Institut National Polytechnique de Toulouse in 1988, in the domain of the Control in Electric Engineering. He is currently a Professor in the Ecole Nationale Supérieure d’Ingénieurs en Electrotechnique, d’Electronique, d’Informatique, d’Hydraulique et de Télécommunications of Toulouse (ENSEEIHT). In 1985 he as integrated the Laboratory of Electrotechnics and Industrial electronics (LEEI), mixed unit of research (CNRS-INPT). He was leading of the LEEI laboratory in 2005. From January 2007 until 31 December 2015 he was Deputy Director of the LAPLACE labatory (Laboratoire Plasma et Conversion d’ Energie). Since April 2013, he is president of PRIMES platform in Tarbes, which brings together industrialists and university researchers by providing tools for integration in Power Electronics.
The field of scientific interest of Pr. Maurice FADEL concerns the modeling and the control of the electric systems more especially of the synchronous machine, the control law of the static converters with the help of direct predictive controls approach and the definition of control strategies for cooperative systems. The theme of improving energy efficiency through control is one of its axes of research.