Hardware Implementation of a Real-Time Neural Network Controller Set for Reactive Power Compensation Systems

2010 Ninth International Conference on Machine Learning and Applications Pub Date : 2010-12-12 DOI:10.1109/ICMLA.2010.107

R. Bayindir, Alper Gorgun

引用次数: 5

Abstract

This paper introduces the use of hardware implementation of a real time neural network controller set for reactive power compensation (RPC) systems with synchronous motor. In this study, measurement of parameters required in systems such as current, phase differences, frequency and power are measured by means of a PIC 18F452 microcontroller with high accuracy and then controlled via artificial neural networks;. The performance test based on obtained data using a computer codes written in Visual Basic.Net are implemented. Different ANN controller structures are verified by simulating them on a computer. It is evaluated that the set developed can be easily adapted in real time applications.

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无功补偿系统实时神经网络控制器的硬件实现

介绍了同步电机无功补偿(RPC)系统实时神经网络控制器的硬件实现。本研究利用pic18f452单片机对系统所需的电流、相位差、频率、功率等参数进行高精度测量，并通过人工神经网络进行控制;该性能测试基于所获得的数据，使用Visual Basic编写了计算机代码。的实现。通过计算机仿真，对不同的人工神经网络控制器结构进行了验证。结果表明，所开发的集易于适应实时应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 Ninth International Conference on Machine Learning and Applications

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