Journal
TWENTIETH BIENNIAL IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (IEEE CEFC 2022)
Volume -, Issue -, Pages -Publisher
IEEE
DOI: 10.1109/CEFC55061.2022.9940738
Keywords
Energy consumption; IPMSM; moment of inertia; multi - objective optimization; spindle motor
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This paper presents an optimal design method for reducing energy consumption in spindle motors, which is receiving increasing attention due to the growing awareness of environmental impact in manufacturing processes. By using IPMSM and conducting multi-objective optimization, the moment of inertia, power density, and energy consumption cost are taken as objective functions.
Reducing energy consumption in spindle system has received attention from many researchers because of rising awareness of environment impact in manufacturing process. Moment of inertia is linked closely to energy consumption with motor efficiency and power density. In this paper, we present optimal design of spindle motor based on reducing moment of inertia for saving energy consumption. IPMSM is applied to the spindle motor instead of IM. Multi-objective optimization of IPMSM is conducted. Moment of inertia, power density and cost of energy consumption are objective functions of optimization. PM area is selected as optimization boundary because of high PM cost.
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