Control of BLDC motor using MRPID controller with modified landsman converter

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

Abstract

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.
基于改进landsman变换器的MRPID控制器对无刷直流电机的控制
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。
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