With progressive digitization, modern production and with ever more complex measurements, measurement uncertainties and digital twins are becoming increasingly important. Metrological traceability is an important property of a measurement result whereby the result can be related to a reference through a documented unbroken chain of calibrations, each contributing to the measurement uncertainty. In every calibration, metrological traceability is an important consideration. Metrological traceability requires an established calibration hierarchy which could be shortened to a single step if the measurement is a direct fundamental physical realization of the measurement unit from its definition. With the SI unit definitions that have been valid since 2019, such measurements based on direct realizations are practically possible and are referred to as “one-step traceability” methods. After a short introduction into measurement uncertainties and metrological traceability we show different approaches for one-step traceability methods for the practical measurement of time, length, electrical units, mass, force and temperature.
Artificial Intelligence/Machine Learning Applications on Power Electronics and Motor Drives
Advances in Wireless Power Transfer Technology
Wireless Power Transfer (WPT) systems, based on inductive power transfer (IPT) technology, are becoming increasing popular in many applications. As research in this area is progressing at a rapid rate, this seminar introduces some of the recent advances in IPT based WPT technology. New circuit and magnetic modelling techniques that can be employed to investigate different types of compensation circuits and coil structures are discussed. An optimal control strategy that allows for regulated power transfer with impedance matching for maximum efficiency, regardless of large variations in coupling and load, is also presented highlighting the key advantages.
Finite-Control-Set Model Predictive Control Techniques of Multiphase Electric Drives
With more than three phases, multiphase machines recently captured high-power, high-reliability applications such as electric vehicles, ship propulsion and wind energy conversion systems. Its innate fault-tolerant ability without needing extra hardware is still considered its most practical benefit. Moreover, its additional degrees of freedom opened the window for miscellaneous nontraditional objectives at the expense of the need for more advanced control strategies. For that reason, numerous papers are now available regarding implementing control techniques for multiphase machines, moving towards classic control techniques: field-oriented control and direct torque control, to more sophisticated ones: sliding mode control and finite-control-set model predictive control (FCS-MPC). Thus, this presentation discusses the latest developments in FCS-MPC of two of the most popular multiphase electric drive configurations, five-phase and six-phase.