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Thursday 28 September 2023 at 8:00 PM JST (1:00 PM CET, 7:00AM EST) By Hiroshi Fujimoto (The University of Tokyo, Japan) Register now using the link below: https://attendee.gotowebinar.com/register/2578145193763977819 Abstract: Electric vehicles (EVs) have attractive potential not only for energy and environmental performance, but also for vehicle motion control because electric motors have a fast and measurable torque response. The speaker's lab has developed a completely original EV with active front and rear steering systems. We installed high-torque, direct-drive in-wheel motors and lateral force sensors on all wheels. The first part of this talk will briefly introduce our recent studies on advanced motion control and autonomous driving to improve safety, driving comfort, and energy efficiency. In the second part, a new type of in-wheel motor will be introduced that receives electric power by wireless power transfer using magnetic resonance coupling and control signals by wireless communication to avoid disconnection of power and signal cables. This system is called Wireless In-Wheel Motor (W-IWM). In this system, it is also possible to transmit power directly to the in-wheel motor without cables from underground coils for dynamic charging to extend the driving range. This presentation provides an overview and design methods of the ...
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Thursday 21 September 2023 at 8:00 PM CST (2:00 PM CET, 8:00AM EST) By Wenbin Dai (School of Electrical Information and Electronic Engineering, Shanghai Jiao Tong University, China) Register now using the link below: https://attendee.gotowebinar.com/register/2087164872918592597 Abstract: Industrial internet and edge computing brings lots of new opportunities for traditional industrial automation systems. With massive computing, storage, and communication resources available on field devices, a new low code development must be investigated to handle multiple applications on multiple edge devices simultaneously. A system-level modeling language is needed to achieve efficient and reliable design and development of industrial edge applications. In this talk, we will discuss model-driven and data-driven approaches for automatic code generation for industrial edge applications based on the IEC 61499 and MTP standard. The next-generation industrial edge computing systems relies on a system-level modeling language based on IEC61499, deterministic network and embedded virtualization technologies. The new generation of industrial edge applications can be applied to discrete manufacturing, process control, motion control and other fields, and plays an important role in automatic code generation, autonomous optimization and self-management. Presenter’s bio: Wenbin Dai is a professor and assistant dean from School of Electrical Information and Electronic Engineering, Shanghai Jiao Tong University, ...
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