实时过程控制的人工神经网络

A. Gulati, D. Jacobs
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引用次数: 0

摘要

本研究的目的是开发一种基于神经网络的给定储罐液位实时控制系统。该罐具有“I”形,其圆形横截面积在“I”形轮廓高度上变化。模拟的“I”形坦克高12米,分为三个部分。每个部分的高度为4米。水箱以0米至12米为间隔,每隔1个水位标记。设计并开发了一种用于实时控制水箱水位的人工神经网络。目标是在一定数量的不受控制的输出流量发生后,尽管罐体的“I”形结构引入了两个非线性点,但仍能以恒定的变化率平滑地改变目标液位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial neural networks for real-time process control
The purpose of this study was to develop a neural network based on real-time control system for fluid level in a given tank. The tank has an "I" shape with a circular cross sectional area varying across the "I" shaped profile height. The simulated "I" shaped tank has a height of 12 meters and divided into three sections. Each of the sections has a height of four meters. The tank is demarcated into water level marks from O m to 12 m at intervals of 1 each. An ANN is designed and developed for real-time control of water level in the tank. The goal was to enable a smooth change in target level at a constant rate of change inspite of the two nonlinearity points introduced by the "I" shaped structure of the tank, after a certain amount of uncontrolled output flow has occurred.<>
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