نتایج جستجو برای: linear induction motor

تعداد نتایج: 825057  

Journal: :the modares journal of electrical engineering 2010
mohammad - ebrahimi gasem - esfandiari ahmadreza - azimian

this paper presents a fuzzy search controller approach along with the look-up tables, to optimize the efficiency of a pump-induction motor drive. the induction motor and the converter are modeled based on thermal loss; and for modeling the pump and the hydraulic system, which are non-linear and relatively complicated, the neural network is used. in the designed system, in order to optimize the ...

Journal: :iranian journal of science and technology (sciences) 2008
sh. kaboli

in direct torque control, the selection of an applied voltage vector is based on the measuredparameters at the beginning of the sampling period. the delay between the measurement and the application of the voltage vector is the origin of an extra torque ripple. in this paper, a new predictive controller is proposed for compensating this delay and reducing the torque ripple. the stator current i...

Journal: :Transactions of the Society of Instrument and Control Engineers 1980

Journal: :American Journal of Electrical Power and Energy Systems 2013

Journal: :CES Transactions on Electrical Machines and Systems 2019

Journal: :CES transactions on electrical machines and systems 2023

In the linear induction motor control system, optical grating speed transducer is susceptible to strong magnetic field interference. What's more, it may reduce integration and raise device costs. Therefore a identification method replace studied in this article. This for mainly adopts Model Reference Adaptive Method (Abbreviated as MRAS) Popov Hyperstability Theory. The research content of pape...

Journal: :Scientia Iranica 2022

This paper presents a comprehensive approach for modeling and classification of air gap asymmetry inter-turn short circuit faults in ladder-secondary linear induction motors (LS-LIMs). It is based on modified Magnetic Equivalent Circuit (MEC) model incorporated with current signal-based fault detection method using convolution neural network (CNN). The feature sets the mentioned are classified ...

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