基于ANFIS的分励直流电动机四象限斩波控制:文献综述

Stuti, Manish Kumar singh, S. Srivastava
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引用次数: 4

摘要

分励直流电动机(SEDCM)以其易于调速和性能优越的优点在工业上得到了广泛的应用。它们的转速可通过电枢电压控制和磁场电压控制来控制,分别控制在基本转速以下和基本转速以上。整流器或斩波器用作转换器,将固定直流电转换为可变直流电,以控制电机的速度。许多控制器已被应用于电机转速的控制。建立了一个闭环控制模型,该模型具有两个控制回路,即速度控制回路和电流控制回路。许多研究人员为此提出了不同的模型。本文对这一领域迄今为止所做的研究工作进行了文献综述。并将传统方法与基于人工神经模糊推理系统(ANFIS)的控制器进行了比较分析,找出最适合的方法。
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ANFIS based four quadrant chopper control of separately excited DC motor: A literature review
Separately Excited DC motors (SEDCM) are widely used in industries because of their advantages in easy speed control and high performance. Their speed can be controlled by Armature voltage control and Field voltage control up to the base speed and above the base speed respectively. A rectifier or chopper is used as a converter to convert a fixed DC into variable DC to provide speed control to the motor. Many controllers have been applied for the control of motor speed. A closed loop control model has been developed having two control loops i.e. a speed control loop followed by a current control loop. Many researchers have proposed different models for this purpose. This paper presents a literature review of the research work done in this field till date. A comparative analysis is also done between the conventional methods and Artificial Neuro Fuzzy Inference System (ANFIS) based controller to find the best suitable method.
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