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Wavelet-fuzzy speed indirect field oriented controller for three-phase AC motor drive – Investigation and implementation

机译:三相交流电动机驱动器的小波模糊速度间接磁场定向控制器-研究与实现

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摘要

Three-phase voltage source inverter driven induction motor is used in many medium- and high-power applications. Precision in speed of the motor play vital role, i.e. popular methods of direct/indirect field-oriented control (FOC) are applied. FOC is employed with proportional–integral (P-I) or proportional–integral–derivative (P-I-D) controllers and they are not adaptive, since gains are fixed at all operating conditions. Therefore, it needs a robust speed controlling in precision for induction motor drive application. This research paper articulates a novel speed control for FOC induction motor drive based on wavelet-fuzzy logic interface system. In specific, the P-I-D controller of IFOC which is actually replaced by the wavelet-fuzzy controller. The speed feedback (error) signal is composed of multiple low and high frequency components. Further, these components are decomposed by the discrete wavelet transform and the fuzzy logic controller to generate the scaled gains for the indirect FOC induction motor. Complete model of the proposed ac motor drive is developed with numerical simulation Matlab/Simulink software and tested under different working conditions. For experimental verification, a hardware prototype was implemented and the control algorithm is framed using TMS320F2812 digital signal processor (dsp). Both simulation and hardware results presented in this paper are shown in close agreement and conformity about the suitability for industrial applications.
机译:三相电压源逆变器驱动的感应电动机用于许多中功率和高功率应用。电动机速度的精度起着至关重要的作用,即应用了直接/间接磁场定向控制(FOC)的流行方法。 FOC与比例积分(P-I)或比例积分微分(P-I-D)控制器一起使用,并且它们不是自适应的,因为在所有工作条件下增益都是固定的。因此,在感应电动机驱动应用中需要精确的鲁棒速度控制。该研究论文阐述了一种基于小波-模糊逻辑接口系统的FOC感应电动机驱动的新型速度控制。具体而言,IFOC的P-I-D控制器实际上已被小波模糊控制器所取代。速度反馈(误差)信号由多个低频和高频成分组成。此外,这些分量由离散小波变换和模糊逻辑控制器分解,以生成用于间接FOC感应电动机的缩放增益。建议的交流电动机驱动器的完整模型是使用Matlab / Simulink数值模拟软件开发的,并在不同的工作条件下进行了测试。为了进行实验验证,实现了硬件原型,并使用TMS320F2812数字信号处理器(dsp)构造了控制算法。本文中给出的仿真结果和硬件结果在工业应用的适用性方面都具有紧密的一致性和一致性。

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