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optimal electromagnetic-thermal design of a seven-phase induction motor for high-power speed-control applications
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نویسنده
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shahparasti m. ,heidari z. ,gorginpour h.
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منبع
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scientia iranica - 2022 - دوره : 29 - شماره : 5-D - صفحه:2480 -2497
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چکیده
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Induction motors have been traditionally used in industrial applications ranging from a fraction of horse-power up to several megawatts due to their substantial benefits. induction drives with more than three-phases are superior to the 3-phase induction drives in terms of overall-volume, torque fluctuations, current passing each stator-winding, ohmic-loss, efficiency and reliability in the case of stator-windings open-circuit fault. these benefits are especially more attractive in variable speed drivers due to the reduced capacity of power-electronics switches. this paper aims to develop an optimal electromagnetic-thermal design procedure of a high-power seven-phase induction motor suitable for variable-speed applications. in this multi-objective design approach, the objective function is defined aiming to increase the efficiency, power-factor, power-to-weight ratio, starting-torque as well as decrease the starting-current. furthermore, the electrical, mechanical, dimensional, magnetic and thermal limitations are included in this optimization study in order to ensure practical realization of the designed machine. the coupled-circuit method is employed for nonlinear electromagnetic modeling while the current displacement phenomenon is considered in rotor parameters calculations. a lumped-parameter-thermal model is established for calculating heat rises of different parts in each iteration of optimization study. finally, the performance characteristics of the optimally designed 1-mw 4-pole motor are verified using 2d-fe analyses.
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کلیدواژه
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7-phase induction motor ,optimization ,coupled-circuit model ,lumped parameter thermal model ,finite-element method ,winding function
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آدرس
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islamic azad university, east tehran branch, department of engineering, iran, islamic azad university, bushehr branch, department of electrical engineering, iran, persian gulf university, department of intelligent systems engineering and data science, iran
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پست الکترونیکی
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h_gorgin@pgu.ac.ir
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Authors
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