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The nonlinear behavior of inverters is largely impacted by the interlocking and switching times. A method for online identifying the switching times of semiconductors in inverters is presented in the following work. By being able to identify these times, it is possible to compensate for the nonlinear behavior, reduce interlocking time, and use the information for diagnostic purposes. The method is first theoretically derived by examining different inverter switching cases and determining potential identification possibilities. It is then modified to consider the entire module for more robust identification. The methodology, including limitations and boundary conditions, is investigated and a comparison of two methods of measurement acquisition is provided. Subsequently the developed hardware is described and the implementation in an FPGA is carried out. Finally, the results are presented, discussed, and potential challenges are encountered.
Current Harmonics Control Algorithm for inverter-fed Nonlinear Synchronous Electrical Machines
(2023)
Current harmonics are a well known challenge of electrical machines. They can be undesirable as they can cause instabilities in the control, generate additional losses and lead to torque ripples with noise. However, they can also be specifically generated in new methods in order to improve the machine behavior. In this paper, an algorithm for controlling current harmonics is proposed. It can be described as a combination of different PI controllers for defined angles of the machine with repetitive control characteristics for whole revolutions. The controller design is explained and important points where linearization is necessary are shown. Furthermore, the limits are analyzed and, for validation, measurement results with a permanently excited synchronous machine on the test bench are considered.
The nonlinear behavior of inverters is mainly influenced by the interlocking and switching times of the semiconductors. In the following work, a method is presented that enables the possibility of an online identification of the switching times of the semiconductors. This information allows a compensation of the non-linear behavior, a reduction of the locking time and can be used for diagnostic purposes. First, a theoretical derivation of the method is made by considering different cases when switching of the inverter and deriving identification possibilities. The method is then extended so that the entire module is taken into account. Furthermore, a possible theoretical implementation is shown. After the methodology has been investigated with possible limitations, boundary conditions and with respect to real hardware, an implementation in the FPGA is performed. Finally, the results are presented, discussed
and further improvements are presented in an outlook.
Der vorliegende Beitrag beschreibt die Motivation hinter den Forschungsarbeiten im Electric Mobility Competence Center (EMC^2) rund um elektrische Antriebskomponenten für die Elektromobilität sowie die Notwendigkeit, diese Forschungsarbeiten an Prüfständen zu testen und zu validieren. Zunächst wird näher auf die Charakteristik von elektrischen Maschinen eingegangen, um anschließend die verwendete Prüfstandtechnik vorzustellen.
Elektrische Antriebe sind ein innovationstreibender Kernbestandteil vieler industrieller Anlagen und Einrichtungen. Damit sie diese herausragende Rolle mit den daran geknüpften Erwartungen erfüllen können, ist neben optimierten Elektromotoren und sie speisenden, schnell schaltenden Stromrichterstellgliedern auch eine hochdynamische Regelung erforderlich. Diesem Umstand wird mit der angebotenen Veranstaltung in Form einer detaillierten Einführung in die Thematik der Regelung elektrischer Antriebe Rechnung getragen.