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Author: search.filters.author.Verl, AlexanderSubject: search.filters.subject.670

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    iWindow - Intelligentes Maschinenfenster
    (Düsseldorf : VDI Verlag, 2018) Sommer, Philipp; Verl, Alexander; Kiefer, Manuel; Rahäuser, Raphael; Müller, Sebastian; Brühl, Jens; Gras, Michael; Berckmann, Eva; Stautner, Marc; Schäfer, D.; Schotte, Wolfgang; Do-Khac, Dennis; Neyrinck, Adrian; Eger, Ulrich; Sommer, Philipp
    Das Verbundforschungsprojekt iWindow: Intelligentes Maschinenfenster beschäftigte sich mit der visuellen Unterstützung von Maschinenbedienern an Werkzeugmaschinen. Diese konnten bisher nur auf wenige bis keine Systeme, die sie bei ihren täglichen Aufgaben direkt an der Werkzeugmaschine unterstützen, zurückgreifen. Das Forschungsprojekt verbindet reale und virtuelle Welt in der Werkzeugmaschine durch Technologien wie Virtual und Augmented Reality, digitaler Zwilling, Simulation und Mehrwertdienste. Durch Nutzung jeweils für die aktuelle Arbeitssituation passender Dienste, werden Mitarbeiter befähigt, sich an die steigende Individualisierung der Produkte und die flexiblere Produktion anzupassen. Kunden und Geschäftspartner werden durch die Möglichkeit eigene mehrwertgenerierende Dienste zu entwickeln und anderen Anwendern zur Verfügung zu stellen in den Wertschöpfungsprozess eingebunden. Diese Publikation beleuchtet die im Rahmen des Forschungsprojekts erarbeiteten Ergebnisse hinsichtlich für ein intelligentes Maschinenfenster benötigter Technologien und Entwicklungen.
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    Parameter identification for fault analysis of permanent magnet synchronous motors based on transient processes
    (2024) Wu, Chaoqiang; Verl, Alexander
    As the market for hybrid and electric vehicles expands, electric motor production and testing technology must be continuously improved to meet the cost and quality requirements of mass production. In order to detect faults in motors during the production process, a condition monitoring tool is used for the motor end line. During most condition monitoring, the motor operates in a static state where the speed of the motor remains constant and the voltage/current is recorded for a certain period. This process usually takes a long time and requires a loader to drag the motor to a standstill at a constant speed. In this paper, various transient process testing methods are introduced. For these processes, only transient operation of the motor, such as acceleration, loss, or a short circuit, is required. By analyzing the measurement results and simulation results of motor models, unhealthy motors can be detected more effectively.
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    Acceleration-based disturbance compensation for elastic rack-and-pinion drives
    (2021) Brenner, Felix; Lechler, Armin; Verl, Alexander
    Rack-and-pinion drives are mainly used for large machine tools and are often operated with indirect position control. Due to the lack of state information on the output side, this results in reduced accuracy regarding the table position. In addition, the system can only react inadequately to disturbances outside the control loop, meaning that often insufficient results can be achieved in typical application scenarios such as milling. To meet the increasing dynamic and accuracy requirements of the modern manufacturing industry, this paper presents a highly dynamic acceleration-based disturbance compensation method. For this purpose, the table acceleration is estimated using a dynamical model of the drive train and compared to the signal from an additional acceleration sensor attached to the machine table. Based on the resulting difference, an additional compensation torque is provided, which suppresses the disturbance in counterphase. The approach is tested experimentally on an open control platform with industrial drive components and the behavior is investigated based on compliance frequency responses and externally applied milling forces. At the same time, a standardized parametrization methodology is developed and the robustness is evaluated by varying table masses. In summary, a considerable improvement of the dynamic disturbance behavior can be achieved compared to the conventional system without compensator.
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    Model predictive control for compliant feed drives with offset-free tracking behavior
    (2023) Leipe, Valentin; Hinze, Christoph; Lechler, Armin; Verl, Alexander
    Industrial machine tool feed drives are predominantly controlled by cascade control due to their low tuning complexity and inherent robustness. However, the cascaded structure requires the inner cascades to have higher dynamics than the outer cascades, which limits the achievable dynamic accuracy. Direct control approaches, which substitute the position and velocity cascade, offer the potential to utilize the unused potential. A promising approach is model predictive control (MPC), which optimizes the manipulated variable with a plant model along a prediction horizon. However, model uncertainties between the nominal model and the real plant lead to tracking errors. Therefore, this paper presents, a linear MPC (LMPC) and an adaptive MPC (AMPC) with an additional integral action to robustly compensate for model mismatches. Both controllers use a compliant model, are real-time capable with a sample rate of 2kHzand consider state and input space constraints. The AMPC accounts for position-varying stiffness and friction. The controllers are experimentally compared with classical P-PI cascaded control on a ball screw drive. They show a tracking error reduction of 37%(LMPC) and 44%(AMPC) during a high speed motion profile and an increase in bandwidth of 180%(LMPC) and 184%(AMPC), resulting in significantly improved dynamic accuracy.