Identifikation & Regelung

  • IdenT - Identifikation dynamik- und sicherheitsrelevanter Trailerzustände für automatisiert fahrende Lastkraftwagen
    Vor allem im Bereich der Nutzfahrzeuge ist das wirtschaftliche Potential von automatisiert fahrenden Lastkraftwagen besonders hoch. Damit dieses Vorhaben gelingen kann, muss der LKW-Anhänger (sog. Trailer) deutlich intelligenter werden, als er heute ist. Während das Zugfahrzeug serienmäßig mit viel Sensorik ausgestattet ist, gibt es im Trailer noch deutlichen Nachholbedarf. Im Rahmen dieses Projekts soll mit mehreren Projektpartnern aus Forschung und Industrie erarbeitet werden, wie durch Einsatz von zusätzlicher Sensorik im Trailer die fahrdynamischen und sicherheitsrelevanten Zustände berechnet bzw. geschätzt werden können, um diese anschließend an das Zugfahrzeug weiterzugeben. Ein weiterer Aspekt des Projekts ist die Beurteilung von verschleißbehafteten Komponenten im Trailer wie z.B. Reifen oder Bremsen, um eine Vorhersage zu treffen, wann die Komponenten ausgewechselt werden müssen. Dazu wird ein Online-Zwilling erstellt, der während der Fahrt auf einer Recheneinheit im Trailer fahrdynamische Zustände schätzt. Weiterhin sollen Informationen über die Fahrbahnbeschaffenheit gesammelt und mit Kameras der Rückraum überwacht werden. Die online gesammelten Informationen werden über eine Cloud-Infrastruktur an einen Offline-Zwilling gesendet, der dann mit Hilfe von detaillierten Fahrzeug-Modellen den Komponentenverschleiß berechnet und an den Online-Zwilling zurück sendet. Das Imes wird sich im Rahmen dieses Projekts hauptsächlich mit der Entwicklung des Online-Zwillings erfassen und setzt für die Online-Informationsgenerierung Methoden der fahrdynamischen Modellierung, des maschinellen Lernens und der Informationsfusion ein.
    Year: 2020
    Sponsors: Bundesministerium für Wirtschaft und Energie
    Lifespan: 3 Jahre
  • Condition Monitoring of nonlinear plants in the automation industry
    The progressive networking of industrial plants provides an increasing amount of data that is available in operation. It is usually no longer possible for humans to oversee this amount of information and to draw knowledge from it. With the development of increasingly powerful processors, machine learning methods have come into focus for this application. In this project, the existing procedures, which are mostly based on physical models, are to be complemented in order to enable comprehensive monitoring. The focus is on nonlinear systems that are difficult to describe using physical models.
    Team: Moritz Fehsenfeld
    Year: 2019
    Sponsors: Lenze Automation GmbH
    Lifespan: 10/2018 - 09/2022
  • RoCCl - Road Condition Cloud
    As part of the DFG-funded project RoCCl, a time-varying map, the Road Condition Cloud, is developed in cooperation with the Institute of Automotive Engineering of the TU Braunschweig. Therefore the road condition with additional confidence will be estimated by probability-based data fusion of various heterogeneous information from onboard and environmental sensors and transferred to the card. The communication with the RoCCl thus offers the possibility to correctly initialize driver assistance systems with regard to the current road condition at any time.
    Team: M. Sc. Alexander Busch
    Year: 2018
    Sponsors: Deutsche Forschungsgemeinschaft (DFG)
    Lifespan: 02/2018 - 01/2021
  • simTrailer - Complete, Model-based State Monitoring of Trailers
    In the simTrailer project, online-capeable methods for model-based state monitoring of trailers are being developed to ensure the most efficient use of sensor technology.
    Team: Zygimantas Ziaukas, M .Sc.
    Year: 2017
    Sponsors: BPW Bergische Achsen KG
  • Remote Mechatronics Challenge
    Remote Laboratories allow the control and observation of a real test bed via the Internet. Thus, lecture contents can be deepened and applied to real test beds. In addition to the permanent availability, the limitation of defined parameter of the system is a great advantage over classical laboratory concepts.
    Team: M.Sc. Johannes Zumsande
    Year: 2016
    Sponsors: Studienqualitätsmittel
  • Analysis of vehicle drive-train vibrations
    A current project is the analysis of vehicle drive-train vibrations in the powertrain of a passenger car. The aim of the research project is to analyse individual phenomena and identify their causes. This knowledge can be used in order to find suitable software or hardware measures that reduce or avoid this vibrations. This work is being carried out as part of an industrial project with IAV GmbH.
    Team: M. Sc. Eduard Popp
    Year: 2015
    Sponsors: IAV GmbH
  • iTracC - Intelligent Traction Control
    The goal of the iTracC project is to increase driving safety in vehicles with electrified powertrains by optimizing traction control based on adaptive powertrain and friction models.
    Team: M. Sc. Mark Wielitzka, M. Sc. Alexander Busch
    Year: 2015
    Sponsors: Bundesministerium für Wirtschaft und Energie (BMWi)
  • Automatisierte Inbetriebnahme und Condition Monitoring industriell eingesetzter Regalbediengeräte
    Das Ziel des Kooperationsprojekts ist die automatisierte Inbetriebnahme von Regalbediengeräten und modellbasiertem Condition Monitoring im laufenden Betrieb sowie Schwingungskompensation.
    Team: M.Sc. Daniel Beckmann
    Year: 2015
    Sponsors: ZIM-KOOP
    Lifespan: 2 Jahre
  • Development of a Miniaturized, Electromagnetically actuated Punch
    In this joint research project with the institute of metal forming and metal forming machines a small, efficient electromagnetically actuated punch for cutting thin metal sheets is developed. By exciting the mass-spring-system specifically at its resonance frequency a compact, efficient high speed punch machine is optained, saving space, energy and time.
    Team: Dipl.-Ing Markus Ahrens
    Year: 2014
    Sponsors: German Research Foundation (DFG)
  • Robust estimation of vehicle's side-slip angle, based on sensitivity-based parameteradaption and nonlinear observer structures
    A resent project at the Institute of Mechatronic Systems adresses the estimation of relevant parameters and states of lateral dynamic systems in vehicle dynamics. Therefore different modelbased observers, based on sensitivity-based parameteradaption are realised to ensure a robust Estimation.
    Team: M.Sc. Mark Wielitzka
    Year: 2014
  • Vehicle Vibration Analysis and Compensation
    A current project at imes is dealing with vehicle oscillations in automobiles. The research plan aims to find and analyze causes of vibration in the vehicle, in order to take appropriate measures – control strategies – to reduce or avoid vibrations
    Team: M.Sc Simon Eicke
    Year: 2011
    Sponsors: IAV GmbH
  • Electromagnetically actuated Punch
    The challenge of this research joint research project with the institute of metal forming and metal forming machines is the design and control of an electromangetically actuated punch. This drive concept allows the adaption of the cutting process and, therefore, gives the possibility to compensate oscillations and tracking errors during the cut. Thus, a higher stroke rate, better quality of the produced elements, and lower tool wear level of the die can be achieved. Up to now, rates up to 50 strokes per second and cutting forces up to 10 kN were reached. Thanks to the direct drive concept a very compact construction is possible.
    Team: Dipl.-Ing. Matthias Dagen, Ing. Mauro H. Riva
    Year: 2010
    Sponsors: German Research Foundation (DFG)
  • Time-Optimal Control of Electromechanical Actuators
    Several electromechanical actuators are used for a exhaust gas recirculation in diesel engined passenger vehicles. These actuators regulate the exhaust gas ratio with a high dynamical behavior. To account for the bounded power supply different model based control concepts are implemented within this research project
    Sponsors: IAV GmbH Gifhorn
    Lifespan: 11/2012-10/2013