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ABSTRACT: In the development process of electrical drive trains, consisting of a motor, the power electronics and the control scheme, it is difficult to predict the exact machine and control behavior in combination with the converter. Therefore, system simulations with analytical machine models embedded in a circuit simulation environment are performed. In order to increase accuracy by paying attention to parasitic machine effects caused by e.g. saturation or slot harmonics, a Finite Element model can be used instead of the analytical machine model. In this paper such a field-circuit coupling is applied to the simulation of a permanent magnet synchronous machine servo drive and the results are shown and discussed.
IEEE Transactions on Magnetics 06/2011; · 1.36 Impact Factor
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ABSTRACT: While analytical descriptions of the electrical machine perform very well with respect to computational time giving acceptable results when compared to measurements, one may sacrifice the low computational effort in order to obtain more accurate results by including a Finite Element Analysis of the electrical machine. With this approach it is possible to study effects such as saturation and mutual influences in combination with the power electronics and the control. In this paper such a field-circuit coupled simulation of a PMSM servo drive is performed and the results are discussed. Furthermore, the different components are introduced and explained.
Electrical Machines (ICEM), 2010 XIX International Conference on; 10/2010
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ABSTRACT: Converter fed and feedback controlled drive trains is today's standard configuration for highly dynamic drive applications. The design process for such drive trains must meet the target specifications as well as given constraints for the parasitic effects. Depending on the area of application, these parasitic effects require importance to be attached to e.g. sound radiation power, losses specific to the different components or the overall efficiency. Furthermore, understanding the interdependencies between converter, electric machine, gear and load is indispensable in the optimal design process.
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on; 06/2010
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A. Behrens,
L. Atorf,
R. Schwann,
B. Neumann,
R. Schnitzler,
J. Balle, T. Herold,
A. Telle,
T.G. Noll,
K. Hameyer,
T. Aach
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ABSTRACT: In today's teaching and learning approaches for first-semester students, practical courses more and more often complement traditional theoretical lectures. This practical element allows an early insight into the real world of engineering, augments student motivation, and enables students to acquire soft skills early. This paper describes a new freshman introduction course into practical engineering, which has been established within the Bachelor of Science curriculum of Electrical Engineering and Information Technology of RWTH Aachen University, Germany. The course is organized as an eight-day, full-time block laboratory for over 300 freshman students, who were supervised by more than 60 tutors from 23 institutes of the Electrical Engineering Department. Based on a threefold learning concept comprising mathematical methods, MATLAB programming, and practical engineering, the students were required to transfer mathematical basics to algorithms in MATLAB in order to control LEGO Mindstorms robots. Toward this end, a new toolbox, called the ¿RWTH-Mindstorms NXT Toolbox,¿ was developed, which enables the robots to be controlled remotely via MATLAB from a host computer. This paper describes how the laboratory course is organized and how it induces students to think as actual engineers would in solving real-world tasks with limited resources. Evaluation results show that the project improves the students' MATLAB programming skills, enhances motivation, and enables a peer learning process.
IEEE Transactions on Education 06/2010; · 1.02 Impact Factor
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ABSTRACT: Magnetic levitation is still an important issue for industry and research. Wherever high dynamics, position accuracy, high reliability and low mechanical wear are required, magnetic levitation is an effective alternative to conventional technologies. Conventional systems with mechanical guiding have shown to be limited in speed. For transporting goods over long distances, levitation can thus lead to a significant saving in time and cost. This paper describes a control design for an autonomous magnetically levitated conveyor vehicle with a linear direct drive for propulsion. Based on a mathematical description as a 2-rigid-body system with elastic coupling in torsion, a simulation environment for the vehicle is created. After that, a degree-of-freedom control is designed for the levitation operation, whereas a conventional PI control is used for the propulsion. This control design is based on the representation of the system as a 2-body system as well. The combination of control and simulation environment offers the opportunity for extensive testing and optimization before the control is applied to a test bench. By intensive analysis the stable and efficient operation of the vehicle is determined. An assortment of measurement results is presented and discussed in this paper.
Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International; 06/2009
