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首页> 外文会议>2014 International Conference on Science Engineering and Management Research >Dynamic modeling, simulation analysis of induction motor drives
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Dynamic modeling, simulation analysis of induction motor drives

机译：感应电动机驱动器的动态建模，仿真和分析

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摘要

The induction motor plays very important role in industrial sectors, primarily due to its robustness and lowcost. When the mechanical load is applied to induction motor which requires speed control, some of the drive and controlstrategies are based on the estimated axis speed of the motor. The speed measurement directly reduces its stability and increases the cost of drive implementation. This paper proposes an alternative methodology for estimating the speed of a three phase induction motor driven by a voltage source inverter, using space vector modulation under the scalar control strategy and based on artificial intelligent controller such as fuzzy, neural and adaptive neuro fuzzy system. To validate the performance of the proposed method under motor load torque and speed reference set point variations, simulation results are presented. The simulation results validates under no load, constant load as well as variable load of the proposed method and confirms ability to use induction motor speed control inpractice. The dynamic modeling, simulation and analysis of induction motor using Conventional, PI, Fuzzy Controller, ANN and Adaptive neuro fuzzy controller in open loop and closed loop have been presented.
机译：感应电动机在工业领域中起着非常重要的作用，主要是因为它的坚固性和低成本。当机械负载施加到需要速度控制的感应电动机时，某些驱动和控制策略基于电动机的估计轴速度。速度测量会直接降低其稳定性，并增加驱动器实施的成本。本文提出了一种替代方法，该方法用于估计由电压源逆变器驱动的三相感应电动机的速度，该方法使用标量控制策略下的空间矢量调制，并基于诸如模糊，神经和自适应神经模糊系统的人工智能控制器。为了验证该方法在电动机负载转矩和速度参考设定点变化下的性能，给出了仿真结果。仿真结果验证了所提方法在空载，恒定负载以及可变负载下的有效性，并证实了使用感应电动机速度控制实践的能力。提出了基于常规，PI，模糊控制器，人工神经网络和自适应神经模糊控制器的异步电动机在开环和闭环中的动态建模，仿真和分析。

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