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Wyszukujesz frazę "linear induction machine" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Genetic Algorithm Embedded into a Quality-Oriented Workflow of Methods for the Development of a Linear Drive used in Intralogistic Systems
Autorzy:
Wörner, L.
Kulig, S.
Willing, M.
Winzer, P.
Powiązania:
https://bibliotekanauki.pl/articles/140602.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
DeCoDe
genetic algorithm
intralogistic systems
linear induction machine
system model
Opis:
This paper presents the results of the DFG-project (Deutsche Forschungsgemeinschaft) Q-ELF (“Qualitätsorientierter Methodenworkflow für die Produktneuentwicklung eines Linearantriebs in der Fördertechnik”) carried out in cooperation of the TU Dortmund University (support code KU 1307/12-1) with the BUW Wuppertal (support code WI 1234-11/1). The project continues the former project SFB 696 (Sonderforschungsbereich) regarding the Demand Compliant Design (DeCoDe) and the corresponding system model that strengthens the knowledge management to create high-quality mechatronical systems. In contrast to the SFB, which comprised the reverse engineering of a belt conveyor, Q-ELF applied a workflow of methods for quality oriented development on a new product. The DeCoDe ensures a methodical development that connects different engineering domains. This connection is important because the most problems and malfunctions arise at the interface of different domains due to their different notations for example. This approach also enables a methodical comparison of different competing concepts to pick the best suited one. A genetic algorithm is presented to further decrease the design-space. The project was carried out to develop linear drives for intralogistic systems.
Źródło:
Archives of Electrical Engineering; 2014, 63, 4; 647-665
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic performance of estimator-based speed sensorless control of induction machines using extended and unscented Kalman filters
Autorzy:
Horváth, K.
Kuslits, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193590.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction machine
speed sensorless control
field-oriented control
FOC
non-linear state estimation
load torque estimation
extended Kalman filter
EKF
unscented Kalman filter
UKF
Opis:
This paper presents an estimator-based speed sensorless field-oriented control (FOC) method for induction machines, where the state estimator is based on a self-contained, non-linear model. This model characterises both the electrical and the mechanical behaviours of the machine and describes them with seven state variables. The state variables are estimated from the measured stator currents and from the known stator voltages by using an estimator algorithm. An important aspect is that one of the state variables is the load torque and, hence, it is also estimated by the estimator. Using this feature, the applied estimator-based speed sensorless control algorithm may be operated adequately besides varying load torque. In this work, two different variants of the control algorithm are developed based on the extended and the unscented Kalman filters (EKF, UKF) as state estimators. The dynamic performance of these variants is tested and compared using experiments and simulations. Results show that the variants have comparable performance in general, but the UKF-based control provides better performance if a stochastically varying load disturbance is present.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 129-144
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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