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In diesem Beitrag wurde gezeigt, wie mit Hilfe von Verfahren zur Analyse von Petri–Netzen ein in der Programmiersprache Kontaktplan erstelltes SPS–Programm analysiert werden kann. Das Ziel des Verfahrens ist dabei nicht eine Verifikation im eigentlichen Sinne sondern das Aufdecken von verbotenen oder unerwünschten Zuständen. Im Beitrag wurden Regeln zur Transformation des im Kontaktplan erstellten Ablaufs in ein Petri–Netz angegeben und anhand der Analyse eines fehlerhaft implementierten Ablaufs die Leistungsfähigkeit des Ansatzes vorgestellt. Das Beispiel zeigt, dass Programmfehler bereits vor einem Test an der realen Anlage erkannt werden können. Bei der weiteren Entwicklung des Verfahrens liegt ein Schwerpunkt auf der Verallgemeinerung auf im Kontaktplan entwickelte Programmorganisationseinheiten, die nicht nur reine
Abläufe implementieren. Ein weiterer wichtiger Entwicklungsschritt ist die graphische Unterstützung der Fehlersuche im Erreichbarkeitsgraphen, so dass insgesamt ein leistungsfähiges Werkzeug zur Unterstützung der Implementierung von Ablaufsteuerungen im Kontaktplan zur Verfügung steht.
In diesem Beitrag wurde gezeigt, wie ein bereits bekanntes Verfahren zur modellprädiktiven Regelung zur Optimierung der Energieeffizienz einer Asynchronmaschine im dynamischen Betrieb eingesetzt werden kann. Dazu wurden zunächst die Beziehungen für die Verlustleistung bei alleiniger Berücksichtigung der Kupferverluste im dynamischen Betrieb hergeleitet. Ausgehend davon wurde das Optimierungsproblem formuliert, der Einfluss von Parametern des modellprädiktiven Verfahrens auf das Optimierungsergebnis untersucht und damit Vorschlagswerte für diese Parameter ermittelt. Der Vergleich mit zwei weiteren Verfahren ohne Optimierung bzw. mit Optimierung allein für stationäre Arbeitspunkte zeigt die Vorteile des modellprädiktiven Verfahrens.
In this paper a double hogger used in woodworking machines is considered. The machining tools are driven by induction machines operated by standard inverters. During production the load of these motors changes periodically between low load and high load at a given speed. This paper investigates the reduction of power losses in such an application using an appropriate energy efficient control strategy for the induction machines.
The current paper discusses the optimal choice of a filter time constant for filtering the steady state flux reference in an energy efficient control strategy for changing load torques. It is shown that by appropriately choosing the filter time constant as a fraction of the rotor time constant the instantaneous power losses after a load torque step can be significantly reduced compared to the standard case. The analysis for the appropriate choice of the filter time constant is based on a numerical study for three different induction motors with different rated powers.
This paper presents a laboratory experiment integrating the fields of electronics design, power electronics and drive control. The aim of this experiment is first to illustrate the need for a deep knowledge and the challenges in power electronics and its applications, in this particular case for drive control. The different tasks in this experiment are executed on a complete setup for a brushless dc motor test bench. The tasks assigned to the students are designed such that, in some tasks the knowledge from a particular field, power electronics, electronic design or drive control is deepened, whereas in other tasks the knowledge from more than one of these fields is needed to solve the given problem. Thus, the experiment trains students in the particular domains but illustrates as well the links between power electronics, electronic design and drive control.
Condition Monitoring for mechanical systems like bearings or transmissions is often done by analysing frequency spectra obtained from accelerometers mounted to the components under observation. Although this approach gives a high amount on information about the system behaviour, the interpretation of the resulting spectra requires expert knowledge, that is, a deep understanding of the effect on condition deterioration on the measured spectra. However, an increasing number of condition monitoring applications demands other representations of the measured signals that can be easily interpreted even by non–experts. Therefore, the objective of this paper is to develop an approach for processing measured process data in order to obtain an easy to interpret measure for assessing the component condition. The main idea is to evaluate the deterioration of a component condition by computing the correlation function of current measurements with past measurements in order to detect a component condition deterioration from a change in these correlation functions. Besides the simplicity of the obtained measure, this approach opens the opportunity for integrating a model based approach as well. The developed method is tested based on a condition monitoring application in a roller chain.
This paper describes a new method for condition monitoring of a roller chain. In contrast to conventional methods, no additional accelerometers are used to measure and interpret frequency spectra but the chain condition is evaluated using an easy to interpret similarity measure based on correlation functions using the driving motor torque. An additional clustering of current data and reference measurements yields an easy to understand representation of the chain condition.
In this paper we describe the design and development process of an electromagnetic picker for rivets. These rivets are used in a production process of leather or textile design objects like riveted waist belts or purses. The picker is designed such that it replaces conventional mechanical pickers thus avoiding mechanical wear problems and increasing the process quality. The paper illustrates the challenges in the design process of this mechatronic system. The design process was based on both simulation and experiments leading to a prototype that satisfies the requirements.
This paper illustrates the implementation of series connected hardware modules as part of a scalable and modular power electronics device, which is ideally suited in the field of electric vehicles using wide bandgap semiconductor devices. The main benefit of the modular concept is that different current or voltage requirements can be satisfied based on the appropriate series or parallel connection of single modules. The particular design is based on the fact that the single modules generate a continuous and specified output voltage from a given dc voltage. The current work focuses on a brief classification of this work in different series connected concepts of power converters and in particular on an active damping approach for the series connected LC output filters based on inductor current feedback.
This contribution presents a three-phase power stage for motor control with continuous output voltages using wide bandgap semiconductors and an asynchronous delta-sigma based switching signal generation. The focus of the paper is on an active damping approach for the LC output filter based on inductor current feedback.