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Artificial Intelligence Based Modeling and Analysis of BLDC Motor Drive

机译:基于人工智能的BLDC电机驱动建模与分析

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摘要

In this paper proposed about intelligent based modeling and analysis of BLDC motor drives. BLDC Motors are widely used as electric drives in industries. Features of these motors like precise speed regulation, improved power factor, absence of slip high mechanical power density and cost effectiveness its makes them popular in the industrial world. Mathematical models of the drive system are developed and analyze the performance of the proposed drive. The hall sensor signals are used to sense the rotor position. A shunt resistor is used to sense the actual current entering into the motor. Both the outer velocity control loop and inner current control loop uses fuzzy based controller that has been implemented by MATLAB. The proposed intelligent drive performance is studied.
机译:本文提出了基于智能的BLDC电机驱动器建模与分析。 BLDC电机在工业中被广泛用作电驱动器。这些电动机的特点包括精确的速度调节,改进的功率因数,不存在打滑的高机械功率密度和成本效益,这使其在工业界颇受欢迎。开发了驱动系统的数学模型,并分析了所建议驱动器的性能。霍尔传感器信号用于感测转子位置。分流电阻器用于感测进入电动机的实际电流。外部速度控制回路和内部电流控制回路均使用基于模糊的控制器,该控制器已由MATLAB实现。研究了建议的智能驱动性能。

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