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IES Webinar Series

Design Principles of Finite Control Set Model Predictive Control for Power Converters by Naki Güler

Joint Webinar with IEEE IES Students and Young Professionals Activity Committee (S&YP) Tuesday February 22, 2022 5:00 PM TRT (3:00 PM CET, 9:00 AM EST) By Naki Güler (Gazi University, Turkey) Register now using the link below: Abstract: Model predictive control (MPC) is one of the prevalent control techniques in controlling power converters. Especially, the finite control set MPC technique is used in controlling the power converters due to the fast dynamic response and excellent reference tracking capabilities. In addition, the control of multiple variables is essential for multilevel or complicated power converters. At this point, the MPC technique offers an effective solution with the multi-objective cost function that contains different control objectives. However, dealing with multiple objectives requires adjusting multiple weighting factors, which can be complicated at times. In addition, the computational burden is increasing depending on the complexity of the power converters. Therefore, many researchers make an effort for reducing the computational burdens as well as eliminating the weighting factor, nowadays. In this webinar, the design procedure of the finite control set MPC method will be presented along with the selection or eliminating of the weighting factor and reducing the computational burdens. Presenter’s bio: Naki Guler (Member, ...
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Shade-tolerant impedance-source PV microconverters by Hamed Mashinchi Maheri

Joint Webinar with IEEE IES Students and Young Professionals Activity Committee (S&YP) Wednesday February 23, 2022 4:00 PM EET (3:00 PM CET, 9:00 AM EST) By Hamed Mashinchi Maheri (Tallinn University of Technology - TalTech, Estonia) Register now using the link below: Abstract: Replacing fossil fuel-based energy with renewable energy has grown exponentially. Between different renewable energy generation techniques the solar photovoltaic (PV) technology is a superior solution especially for residential and small commercial renewable energy generation. Partial shading is one of the issues, which residential installations are facing. Photovoltaic module-level and sub-module-level power electronic systems could help addressing these issues by utilization а global maximum power point tracking (GMPPT) based on the I-V curve sweeping of the PV module. If properly implemented, the GMPPT would significantly enhance the shade tolerance of the PV installation up to the hard-shading scenarios, including the fallen leaves, bird droppings, or snow deposition on the surface of the PV module. This seminar will review the shade-tolerant impedance-source PV microconverters, which address the partial shading issues of the residential and small commercial PV installations. The emerged approaches feature single- and multi-mode operation with wide input voltage and load regulation range along with capability of ...
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Voltage Stress in PWM Inverter-Fed Electrical Machines by Jiabin Wang and Antonio Griffo

Tuesday December 14, 2021 2:00 PM GMT (3:00 PM CET, 9:00 AM EST) By Jiabin Wang and Antonio Griffo (University of Sheffield, UK) Register now using the link below: Abstract: Power electronic converter-fed machines and drives are increasingly being used in electrification of transport, renewable energy generations and industrial automation. Converters operating in pulse width modulation (PWM) produce voltage pulses at a high frequency and high voltage slew rate (dv/dt) which can result in excessive voltage at the machine terminal and non-uniform voltage distribution within the windings. These voltage transients are expected to significantly reduce the lifetime of the insulation of the connected machine/generator due to increased voltage overshoot, increased voltage across turns, phases and phase-to-ground, and higher frequencies. These will be exacerbated by the increased use of wide band-gap devices with fast-fronted voltage transients with dv/dt in excess of 10-30kV/µs. In this talk, the effects of impulse and high frequency PWM voltages produced by fast-switching power electronic converters on voltage distributions in machine winding and insulation systems are analysed and characterised. Both high frequency oscillation modes due to the interaction of inverter, cables and machines, as well as a low frequency oscillation mode associated with the common mode impedance ...
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Towards intuitive to use and safe robots by Pedro Neto and Mohammad Safeea

Wednesday December 8, 2021 2:00 PM GMT (3:00 PM CET, 9:00 AM EST) By Pedro Neto and Mohammad Safeea (University of Coimbra, Portugal) Register now using the link below: Abstract: Humans and robots are increasingly sharing common workspaces and tasks. In such a scenario, robots need to safely interact, collaborate and learn with humans. The human-robot interactive process may rely on cognitive interfaces (using gestures, human behaviour, anticipation) and physical interfaces featuring physical contact with the robot. Reinforcement learning and sim-to-real represent a step towards building autonomous robot learning with a higher-level understanding of the world. All the above interfaces require safe robots, robots that can avoid collisions with moving humans/objects in unstructured environments. The research challenges for the future will be discussed, as well as the issues related to the implementation of collaborative robotic systems in industry. Laboratory and industry use cases will be presented. Presenters’ bio: Pedro Neto is currently Professor at the Mechanical Engineering Department of the University of Coimbra, coordinator of the Collaborative Robotics Lab of the University of Coimbra and invited professor at Arts et Métiers ParisTech. In 2016, supported by an external investment of more than 2 million Euros, he created the Collaborative Robotics ...
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Impact of High Frequency Switching on Magnetics

Thursday 21 October 2021 at 3:00 PM CET (9:00 AM EST) By Davide Barater (University of Modena and Reggio Emilia, Italy) Register now using the link below: Abstract: The fast-switching speed, higher switching frequency of wide-bandgap (SiC, GaN) power devices have provided the opportunities in achieving high-density, higher-efficiency, higher-frequency and highly integrated power electronics. The energy sector is one of the main areas which can take advantage from these devices to achieve more effective solutions to source, manage and dispatch the energy produced from renewables sources. Efficient and reliable power electronics is expected to change radically the structure of the future energy distribution grid, passing from a centralized structure, with big energy plants delivering electricity to industrial sites and residential compounds at kilometres of distance, to a distributed structure, where the energy is produced from low, medium capacity renewable sources and consumed mainly locally. Nevertheless, the high switching speed of wide-bandgap devices produces also some drawbacks due to inherently sharp voltage (dv/dt) and current (di/dt) gradients. In turn, this could result in an excessive electric stress on the insulation system of wounded magnetic components (electrical machines, high frequency transformers, etc), along with electro-magnetic interference, thus reducing the overall reliability ...
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Research into Collaborative Robotic Disassembly for Smart Remanufacturing

Wednesday 20 October 2021 at 1:00PM BST (2:00 PM CET, 8:00 AM EST) By Duc Truong Pham (University of Birmingham, United Kingdom) Register now using the link below: Abstract: Product disassembly is usually the first step in remanufacturing, a process where used products are returned to a good-as-new condition with a guarantee at least equal to that for the original product.  How disassembly is undertaken can affect the efficiency and capability of remanufacturing.  As it is complex, disassembly tends to be manually performed and is labour intensive.  Efforts have been spent on introducing collaborative robots or cobots in disassembly to make remanufacturing ‘smarter’.  Like other applications of Industry 4.0 automation technologies, this should lead to increased productivity, reduced failure rate, more resource-efficient operations and improved product quality and working environment. This presentation will cover research carried out as part of the 5-year Autonomous Remanufacturing (AutoReman) research programme funded by the UK Engineering and Physical Sciences Research Council at the University of Birmingham.  The aim of the work, which investigates disassembly science and devises intelligent disassembly strategies and plans and develops human-robot collaborative disassembly techniques, is to allow disassembly to be reliably performed either with minimal human intervention or ...
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Yang Shi

An Integrated Robust Model Predictive Control Framework for Cyber-Physical Systems

Tuesday, 19 August 2021 at 7:00 AM PDT (10:00 AM EST - 4:00 PM CET) By Yang Shi (University of Victoria, Canada) Register now using the link below: Abstract: Cyber-physical systems (CPS) can be described as smart systems that encompass computational (i.e., hardware and software) and physical components, seamlessly integrated and closely interacting to sense the changing state of the real world. These systems involve a high degree of complexity at numerous spatial and temporal scales and highly networked communications integrating computational and physical components. The research of CPS is the driving force for Industrial 4.0. Model predictive control (MPC) is the promising paradigm for high-performance and cost-effective control of complex CPS. This talk will firstly summarize the major industrial requirements and challenges to innovate in designing, implementing, deploying and operating CPS. Further, an integrated robust MPC framework and the cloud-based MPC will be presented. Finally, some application examples will be discussed. Presenter's bio: Yang SHI received his B.Sc. and Ph.D. degrees in mechanical engineering and automatic control from Northwestern Polytechnical University, Xi’an, China, in 1994 and 1998, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2005 ...
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Case Studies on Control and Informatics for Smart Energy Systems

Tuesday 24 August 2021 at 3:00PM BST (4:00 PM CET, 10:00 AM EST) By Michael Short (Teesside University, UK) Register now using the link below: Abstract Decarbonisation, digitalisation and decentralisation are transforming energy systems across the globe and supporting the transition to a sustainable future. Within this context, smart grids are electrical grids that include a variety of interoperable communication and control devices to optimally (or near-optimally) facilitate the production and distribution of electricity. Smart grids allow for better integration and management of volatile renewable energy sources, flexible transmission resources, energy storage devices, electric vehicles, Microgrids and controllable loads; they are seen as key enablers in the decarbonisation of both the industry and society. This talk will outline innovative and disruptive services for energy conversion, management and control developed over the course of a decade and involving several funded research and innovation projects, including the IDEAS, DR-BoB, InteGridy and REACT EU-projects. The talk will first focus upon describing the types of real-time asset control and optimization problems which can arise on both energy supply and demand sides, and associated informatics and distributed control issues related to asset dispersion over wide areas. It will then progress to describing ...
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Recent Research Trends in Engineering and Validating Cyber-Physical Energy Systems

Tuesday, 29 June 2021 2:00 PM CET (8:00 AM EST) By Thomas I. Strasser (AIT Austrian Institute of Technology and TU Wien, Vienna, Austria) and Filip Pröstl Andrén (AIT Austrian Institute of Technology, Vienna, Austria) Register now using the link below: Abstract: A driving force for the realization of a sustainable energy supply is the integration of renewable energy resources. Due to their stochastic generation behaviour, energy utilities are confronted with a more complex operation of the underlying power grids. Additionally, due to technology developments, controllable loads, integration with other energy sources, changing regulatory rules, and the market liberalization, the system’s operation needs adaptation. Proper operational concepts and intelligent automation provide the basis to turn the existing power system into an intelligent entity, a cyber-physical energy system. The electric energy system is therefore moving from a single system to a system of systems. While reaping the benefits with new intelligent behaviours, it is expected that system-level developments, architectural concepts, advanced automation and control as well as the validation and testing will play a significantly larger role in realizing future solutions and technologies. The implementation and deployment of these complex systems of systems are associated with increasing engineering complexity resulting ...
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Massimiliano Pirani photo

Towards explainable AI: Ethics and social responsibility in human-machine symbiosis

Tuesday, 15 June 2021 2:00 PM CET (8:00 AM EST) by Professor Massimiliano Pirani (Marche Polytechnic University, Ancona, Italy) Register now using the link below: Abstract: The IEEE Future Directions and Digital Reality community have established the Symbiotic Autonomous Systems vision where digital and physical reality are destined, in next decades, to be merged and indistinguishable. Recently the focus has been also on the coexistence, co-creation, and co-organization of artificial and natural entities in the still not completely explored and understood mid-land of hybrid reality, impacting humankind and society. Some entities are going to assume the role of intermediaries and facilitators for humans to sail safe in digital seas. Evolutions in digital twin theory bring a future for autonomous cognitive digital twin. An ubiquitous entity, silent but always present at the periphery of humans daylife. These entities will materialize themselves in order to advise, interpret, guide, prepare, and support humans towards social responsibility and ethics, while guarding them from the risks brought about by the "big picture". This webinar aims at discussing most promising technologies and architectures for an explainable and extended artificial intelligence that should be at the core of the future digital transformation, in proper control of the abuses and misuses that might generate new forms of societal alienation and ...
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