ADALINE-Based Speed Control For Induction Motor Drive

Imane Ghlib, Youcef Messlem, Zakaria Chedjara
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引用次数: 4

Abstract

This paper presents a new neuro-control of induction motor (IM) drive. It has three key aims. Firstly, the performance of the controller is enhanced using the artificial neural network. Secondly, it objects to diminish the step of calculations and this finally aims to reduce the time needed for realization. The proposed method is based on the replace the classical speed controller with ADAptive LInear NEuron (ADALINE) The parameters of speed neuro-controller are tuned and optimized during the online process to obtain the high possible drive dynamics. The comparison with the conventional vector control under identical conditions shows that is the proposed controller represents a good comprise between Superior performance and reduced calculation.. The simulation results presented the strength, and superiority of the proposed structure compared to the standard method in transient response and even in parameter uncertainties. Furthermore, to make this technique able to involve in real time
基于adaline的感应电机驱动速度控制
提出了一种新型的感应电机驱动神经控制方法。它有三个主要目标。首先,采用人工神经网络增强控制器的性能。其次,它反对减少计算步骤,最终目的是减少实现所需的时间。该方法以自适应线性神经元(ADALINE)取代经典速度控制器为基础,在在线过程中对速度神经控制器的参数进行调整和优化,以获得尽可能高的驱动动态。与传统矢量控制在相同条件下的比较表明,所提出的控制器是性能优越和计算量减少的良好结合。仿真结果表明,该结构在瞬态响应和参数不确定性方面均优于标准方法。此外,为了使这项技术能够实时参与
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