基于改进landsman变换器的MRPID控制器对无刷直流电机的控制

Murali Dasari, A. Reddy, M. Kumar
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引用次数: 0

摘要

活动背后的主要意图是调节无刷直流(BLDC)电机的速度,电流和换相。因此,作者可以控制扭矩。设计方法为了对电机的电流和速度进行调节,提出了多分辨率PID (MRPID)控制器。该抑制电路采用改进型Landsman变换器,根据无刷直流电机的转速调整义务周期以获得理想的直流母线电压。自适应神经模糊推理系统-象群优化(ANFIS-EHO)计算反映了家庭中后代框架的行为。通过MATLAB/Simulink建立了无刷直流电动机的动态特性,并对其进行了检测。将性能与现有的遗传算法进行比较。本文提出的方法和性能将与现有的遗传算法进行比较,并对不同结构的无刷直流电机进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control of BLDC motor using MRPID controller with modified landsman converter
PurposeThe principal intention behind the activity is to regulate the speed, current and commutation of the brushless DC (BLDC) motor. Thereby, the authors can control the torque.Design/methodology/approachIn order to regulate the current and speed of the motor, the Multi-resolution PID (MRPID) controller is proposed. The altered Landsman converter is utilized in this proposed suppression circuit, and the obligation cycle is acclimated to acquire the ideal DC-bus voltage dependent on the speed of the BLDC motor. The adaptive neuro-fuzzy inference system-elephant herding optimization (ANFIS-EHO) calculation mirrors the conduct of the procreant framework in families.FindingsBrushless DC motor's dynamic properties are created, noticed and examined by MATLAB/Simulink model. The performance will be compared with existing genetic algorithms.Originality/valueThe presented approach and performance will be compared with existing genetic algorithms and optimization of different structure of BLDC motor.
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