Results 201 to 210 of about 1,210 (248)
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Machine Learning to optimize Permanent Magnet Synchronous Machines
2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT, 2020In this paper, we offer a possible approach to estimating motor parameters: Machine Learning. We begin with a simulation of a Permanent Magnet Synchronous Motor (PMSM) model using MATLAB and Simulink. We measure the voltage and current and then send the data to a machine learning model (TensorFlow).
Zhuoren Ma +3 more
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Study on Permanent Magnet Demagnetization Characteristics in Permanent Magnet Synchronous Machines
Advanced Materials Research, 2011When Permanent Magnet Synchronous Machines (PMSM) working with rated load or overload, stator iron loss and copper loss, bearings friction loss, permanent magnet (PM) eddy-current all will cause PM temperature rise. In this condition, the PM is affected by the temperature and the stator of the reverse magnetic field generated prone to arouse ...
Ji Zhu Liu +3 more
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Permanent magnet synchronous machines
1983These Ecole polytechnique federale de Lausanne EPFL, n° 443 (1982)Laboratoire d'actionneurs integres Reference doi:10.5075/epfl-thesis-443Print copy in library catalog Record created on 2005-03-16, modified on 2017-05 ...
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Vector Control of Permanent Magnet Synchronous Machine
2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2020This paper presents the implementation of a vector control for a permanent magnet synchronous machine. MATLAB-Simulink simulations were used to obtain preliminary results for three implementations of the vector control block. For a maximum torque the current $\mathrm{i}_{\mathrm{d}}$ was set to zero and the $\mathrm{q}$ component of the current was
Ana-Maria Petri, Dorin Petreus
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Diagnostic tests of permanent magnet synchronous machines
2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), 2015In this article issues related to the diagnostics of permanent magnet synchronous machines have been presented. Methods of vibration diagnostics and main winding insulation diagnostic have been presented. Vibrations detection method is based on measurement of voltage generated during vibration of the machine.
Decner Adam, Jarek Tomasz
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Fields in permanent magnet linear synchronous machines
IEEE Transactions on Magnetics, 1986The determination of electromagnetic fields in permanent magnet linear synchronous machines (PMLSM's) to form the basis for the evaluation of forces and parameters of PMLSM'S (to be presented in a subsequent paper) is discussed. Analytical techniques applied to permanent magnet rotary synchronous machines are modified and adapted to PMLSM's. Fields are
null Zesheng Deng, I. Boldea, S. Nasar
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A synchronous/permanent magnet hybrid AC machine
IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272), 2000In this paper, a synchronous/permanent magnet hybrid (SynPM) machine is presented. It is shown that the machine has good power density and efficiency, and that the machine has true field regulation capability. The principle of operation, finite element analysis and simulation of this new machine are investigated in the paper.
null Xiaogang Luo, T.A. Lipo
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Parameter measurements for permanent magnet synchronous machines
IEEJ Transactions on Electrical and Electronic Engineering, 2007AbstractThe advances in inverter drive technology and permanent magnet materials have enabled the application of permanent magnet synchronous machines (PMSMs) to various fields. PMSMs are rapidly spreading in their applications with their advantage of high efficiency, which is highly needed in many applications in recent years. Although there have been
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Permanent-magnet fields for synchronous machines — II
Electrical Engineering, 1953MOST OF THE PROCEDURES and formulas for the electrical design calculations of synchronous machines with electromagnetic field poles may be adapted also to machines with permanent-magnet fields, but without quite the same close degree of conformity between prediction and actual performance.
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