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Design Optimal Analysis of Brushless Direct Current Motor by Fuzzy Logic
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1  Department of Electrical Engineering, Tatung University, Taiwan
Academic Editor: Cosimo Trono

Abstract:

Design investigations of Brushless DC (BLDC) motors are increasing year by year, and most motor design researchers have investigated the superior efficiency of the BLDC
motor. This research presents the high performance and efficiency of the outer rotor BLDC motor by using the electric fan under optimization and an analysis of fuzzy logic to find out whether this motor shows higher efficiency and saves more energy than another traditional motor. Firstly, this research identifies a suitable design for the reference of the outer rotor BLDC motor used in electric fans. The electric fan motor is manually tested using the motor specification parameters and testing machine. To optimize the reference motor analyzed,
the "one factor at a time" method involves changing one design parameter at a time while keeping all other parameters constant to observe the effect of the reference model. The simulation of the design investigation results is studied using the JMAG software. This software can produce the optimization result for the analysis of the Finite
Element Method. The final proposed model achieved an efficiency of 15 % higher than the reference model, and the output power is 8 W higher than this reference model. The maximum torque of the proposed model is 0.032 Nm higher than the reference model. Moreover, the design evaluation results of the proposed model are considered, and the four methods of design optimizations are shown in the characteristics of the motor design improvements in this research.

Keywords: Fuzzy logic, FEM, magnetic flux density, BLDC motor
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