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无刷直流电机结构设计的基本知识
A Knowledge Based Decision Support Architecture for Designing Brushless DC
Motors
Vahab Akbarzadeh Alireza Sadeghian
Ryerson University Ryerson University
350 Victoria Street 350 Victoria Street
Toronto, Ontario M5B 2K3 Toronto, Ontario M5B 2K3
vahab.akbarzadeh@ryerson.ca asadeghi@ryerson.ca
Abstract expert designer selects the set of materials to be used for
motor construction, including material for the permanent
This paper presents a knowledge based decision magnet. Properties of the selected materials are then
support system that can be used to design brushless DC plugged into a set of equations which calculate the
motors. A hybrid approach, that includes an object geometrical properties of the motor. Characteristics of
oriented paradigm using frames and procedural the proposed design are then measured in terms of
attachments together with a rule based mechanism, is indicators such as efficiency, motor constant, weight,
used to build the proposed architecture. The design and cost. Magnetic modeling in the conventional method
strategy is implemented using a rule-based successive is usually simplified to use a magnetic circuit instead of
iterative method, through
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