Analysis of Fuzzy Logic Based Fault Detection for Three Phase Induction Motor Drive System
Analysis of Fuzzy Logic Based Fault Detection for Three Phase Induction Motor Drive System
复制标题
基于模糊逻辑的三相异步电动机驱动系统故障检测分析
DOI：
10.1109/icees.2018.8443247
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
J. Abarna
中科院分区：
文献类型：
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作者：
R. Kumar;L. Raj;J. Abarna
在大多数工业中，感应电动机的状态监测是最困难的，也是维持其性能的必要条件。本文提出的工作是建立一个模型，用于监测的DTC感应电动机驱动器的状态，使用先进的软计算技术，模糊逻辑。本文提出了数学建模的三相电压源逆变器供电的三相感应电动机驱动器，采用直接转矩控制策略。因此，这些机器必须始终以其上级质量工作。如果机器发生任何故障，重要的是要在最短的时间内识别和诊断特定的故障。在这里，直接转矩控制的感应电动机的发展，也提出了各种故障问题的感应电动机的模糊故障检测系统的帮助下，使用MATLAB/SIMULINK软件。采用智能建模技术作为各种故障的识别器。三相定子电流的估计和应用作为输入的模糊系统。在该模型中，时间作为一个重要的参数，无论是在故障检测或决策，根据故障发生的类型采取适当的纠正措施。
In most of the industries monitoring the condition of induction motor is the most difficult one and also the essential need for maintaining the performance. The proposed work on this paper is to develop a model for monitoring the condition of the DTC induction motor drive using advanced soft computing technique, fuzzy logic.This paper presents the mathematical modeling of three phase induction motor drives fed by three phase voltage source inverter using direct torque control strategy. Hence it is necessary that these machines work all the time with its superior quality. And if any fault occurs in machine, important to identify and diagnosis of the particular fault with minimum time. Here direct torque control of induction motor is developed and also various fault issues of induction motor is presented with the help of fuzzy based fault detection system using MATLAB/SIMULINK software. An intelligent modeling technique is adopted as an identifier for various faults. The three phase stator currents are estimated and applied as input to the fuzzy systems. In this model, time act as an important parameter either in fault detection or in decision making for suitable corrective action according to the type of the fault occurs.