Home
Events
By Sébastien Cense and François Berthelot, OPAL-RT Technologies
Abstract
This presentation will highlight OPAL-RT’s latest FPGA-based electrical hardware solver for
real-time simulation of high-frequency grid and drive converters, for smart grid and electric motor drive
applications. As the development of FPGA-based systems is typically for advanced users, OPAL-RT’s
solution is oriented towards non-flashing technology using a generic and optimized approach to solve
power electronics circuit for these applications. As motor controller’s algorithms become more complex,
so do tests and development of new control strategies. This presentation will also highlight the latest
developments of OPAL-RT efforts to work efficiently with these new challenges and to improve time to
market of grid converters and electric motor drive systems. OPAL-RT turnkey system for ECU testing
and rapid motor prototyping is in line with this philosophy as the user interface allows easy modification
of motor or drive topology without requiring knowledge in FPGA or reprogramming the FPGA. The
objective of this approach is to enable hardware-in-the-loop (HIL) testing with submicrosecond time
steps.
Speaker Biographies
Sébastien Cense – eFPGASIM Team Leader
Sebastien Cense received his B.S. and M.S. degrees in micro electronics from the ISEN Engineering
School in Lille, France in 2010. His final paper on FPGA embedded command of polyphase motor using
space vector algorithm was conducted at the Arts et Metiers Paris Tech in collaboration with OPAL-RT.
He joined OPAL-RT in October 2010 where he has been engaged in developing FPGA application
solutions such as rapid control prototyping and on-board motor simulation. Sebastien also contributed
to a number of technical presentations.
François Berthelot – Business Unit Manager – Eastern North America
François Berthelot received his B.S. in mechanical engineering from the École Polytechnique de
Montréal, Canada in 2008. He received his post-graduate diploma in electrical engineering from the
École de technologie supérieure (ETS) de Montréal, Canada in 2013. His final project was related to
FPGA motor model integration with controller in the loop. He joined OPAL-RT in 2008 and has been
involved in worldwide technical support, R&D and sales activities for the last 10 years with the
company.
Speaker : Prof. Andy Marvin, University of York, UK
Topic : Shielded Enclosure Metrics
Parking : Free
Registration: Free, and is on a first to reply basis.
Preference given to IEEE EMC/MTT/AP/CPMT society members.
Seating is limited. E-mail Reservation is required.
Pizza and soft drinks will be served.
Organizers:
Dr. Syed Bokhari, Chairman, IEEE Ottawa EMC chapter
Syed.Bokhari@fidus.com,
Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632
Dr. Qingsheng Zeng , Chairman of the IEEE Ottawa MTT/AP Chapters
qingsheng.zeng.2011@ieee.org
Professor Q.J. Zhang, Chairman of the IEEE Ottawa CPMT chapter
qjz@doe.carleton.ca
Abstract
The lecture describes the author’s research over the past decade investigating better ways
of defining and assessing the shielding performance of equipment enclosures. The definition
of enclosure Shielding Effectiveness and its limitations are reviewed.
Then recent research on the use of surrogate contents to replicate real electronic enclosure
contents is described leading to alternative definitions of enclosure shielding performance.
Latterly, the work has concentrated on shielding of equipment enclosures in the microwave
frequency range. Measurement techniques exploiting the reverberant nature of the enclosures
are described.
The work has contributed to the recently released IEEE Std 299.1 on the measurement of equipment
enclosure shielding. The HUAWEI Corporation has sponsored the research since 2014.
Biography
Andy Marvin is Professor Emeritus in the University of York’s Department of Electronic Engineering.
He received his BEng, MEng and PhD degrees in Electrical and Electronic Engineering from the
University of Sheffield between 1972 and 1979. From 1977 to 1979 he was with the British
Aircraft Corporation at Filton, Bristol, UK working on antenna design and EMC.
He was appointed to a Lectureship in Electronics at the University of York in the UK in
1979 and promoted to Professor of Applied Electromagnetics in 1995. He retired in December
2017 and was appointed as Professor Emeritus in February 2018.
He was appointed as Technical Director of York EMC Services at its founding in 1995.
He resigned his directorship when the company was acquired by Eurofins in June 2017.
He is a Fellow of the Royal Academy of Engineering and an IEEE Life Fellow.
He was Vice-Chairman of the IEEE Std-299 Working Group on Shielding Effectiveness Measurement,
and is currently Vice-Chairman of the IEEE EMC Society Standards Advisory and Co-ordination
Committee. From 1994 to 2015 he was an Associate Editor of IEEE Transactions on EMC.
He was a member of the UK National Measurement System Advisory Panels on Innovation Research
and Development and Materials and Modelling from 2008 to 2015. He has contributed lectures on
Antennas and on Shielding to the IEEE EMCS Global University and Chaired its Faculty in 2010.
His main research interests are EMC measurement and modelling techniques, EMC antennas and
electromagnetic shielding measurement and modelling. To date, starting in 1976, he is author
over 300 papers. In 1992, he and Dr Stuart Porter invented the Bilog EMC measurement antenna.
He is a founder member of the International Steering Committee of EMC Europe conferences,
Conference Chair of EMC Europe 2011 (York) and Chair of the EMC Europe International Steering
Committee for 2015 – 2018. He was President of the York Society of Engineers (2014/16) and
is Chief Flying Instructor at the York Gliding Centre.
SPEAKER:Â Edward Keyes M.Eng, Solantro Semiconductor Corporation
AGENDA:
- Refreshments, Registration and Networking: 18:00
- Seminar: 18:30 – 20:00.
Abstract
This talk will disclose a novel, microinverter based, all AC nanogrid architecture using photovoltaic panels and lithium ion battery storage. Much of the nanogrid’s hardware is based on Solantro’s Digital Power Processor chipset. The nanogrid is capable of on-grid and off-grid (islanded) operation with “hot†switching between modes. While in grid tied mode the nanogrid can provide a variety of grid support services to increase the percentage of renewables on the utility grid. These include power smoothing, peak limiting, time shifting of PV generation, and California Rule 21 behaviors. The architecture is granular and highly scaleable. It can be scaled from a single microinverter and battery into the hundreds of devices. In islanded operation the nanogrid is self forming with battery operation controlled by a novel resistive droop control method.
Speaker’s Bio
Mr. Keyes is the Nanogrid Projects Manager at Solantro Semiconductor where he leads the company’s development of nanogrid technology. He holds a B. Sc. in Applied Physics from the University of Waterloo and a Masters in Electronic Engineering from Carleton University. Mr. Keyes was formerly Chief Technology Officer of Semiconductor Insights (now Techinsights Inc.) where he led the company’s R&D activities. Previous to Techinsights Mr. Keyes held positions at Optotek Ltd, Xerox Research Corp. and Atomic Energy of Canada Ltd. Mr. Keyes holds over 14 US patents in a range of areas including power electronics, nanogrids and integrated circuit analysis.
Arduinos, 3D printing, networking with professionals, Lego Mindstorms, Lego displays, FREE LUNCH … what more can you ask for? The IEEE Ottawa Robotics Competition (ORC) is Ottawa’s largest non-profit robotics competition that attracts 500+ attendees annually.
To enrich your volunteering portfolio, to network with industry professionals, to apply for future leadership positions within our organization, and to inspire the next generation of STEM leaders, sign up NOW as a volunteer at http://orc.ieeeottawa.ca/
Check out the competition at http://bit.ly/
Thank you for your time.
Heidi Li and David Huynh
Co-Chairs of the IEEE Ottawa Robotics Competition
You are cordially invited to the upcoming technical talk:
Speaker: Gonzalo Nápoles, Faculty of Business Economics, Hasselt University, Belgium
Co-organized by: IEEE CI/SMC Ottawa Joint Chapter (http://www.ieeeottawa.ca/ci) and University of Ottawa Computer Science Graduate Student Association
Where: School of Electrical Engineering and Computer Science, Room SITE 5084, 800 King Edward Ave, Ottawa
When: Wednesday August 8th, 2018, 6:30 PM– 8:30 PM
Agenda:Â
6:30 – 6:45 PM       Pizza / drinks and networking
6:45 – 8:15 PM      Technical talk
8:15 – 8:30 PM      Q&A / networking
Admission: Free but registration is required via Eventbrite (https://www.eventbrite.ca/e/technical-talk-rough-cognitive-networks-tickets-48244520660)
Abstract:
The ease with which we recognize our beloved black cat from hundreds similar to it or read handwritten characters belies the astoundingly complex processes that underlie these common scenarios. Which is why researchers in Machine Learning have been focused on developing a wide range of classification algorithms called classifiers with the goal of tackling these situations with the best possible accuracy. However, most accurate classification models regularly perform like black-boxes, thus neglecting the premise that understanding is an essential part of any learning process, even when the process itself is quite subjective.
In this talk, we will discuss how to exploit information granules in the form of rough sets to design a transparent neural classifier. This model comprises three well-defined steps that are materialized through the Rough Cognitive Networks. In the first step, we discover information granules on the available information using the Rough Set Theory. In the second step, we build a Fuzzy Cognitive Map where input neurons represent the previously discovered granules, while output ones denote the decision classes to be considered. The last step focuses on performing the neural reasoning process using intelligible inclusion equations and causal relations.
Rough Cognitive Networks are capable of computing high-quality predictions (when compared to traditional classifiers) even using a very small network topology. More importantly, the weights are prescriptively established, no further learning is required.
Speaker biography
Gonzalo Nápoles received his PhD degree from Hasselt University (Belgium) and Maastricht University (The Netherlands) in 2017. He has published several papers in peer-reviewed journals including IEEE Transactions on Fuzzy Systems, Neurocomputing, Neural Processing Letters, Information Sciences, Neural Networks, Knowledge-based Systems, among others. Dr. Nápoles was recipient of the Cuban Academy of Science Award twice (2013 and 2014), the highest academic award in Cuba. He is the senior developer of the FCM Expert software tool (www.fcmexpert.net) for fuzzy cognitive maps. His research interests include cognitive mapping, rough cognitive networks, neural networks, learning systems and chaos theory.
