Development of neural network controller for control of debutanization process in rectification column of gas-fractionating plant

Author:

Muravyova E A,Sharipov M I,Zubaydullina K R

Abstract

Abstract In process systems, stabilizing parameters and bringing the process to technological mode is a rather difficult task. Control and control of parameters in manual mode does not produce effective results, and for this reason the introduction of an improved control system is required to eliminate human factor errors. Currently, the best efficiency is shown by neural networks, which are used for an advanced control and prediction system. The purpose of the study: in this project, a neural network controller is being developed to control the debutanization process of the gas fractionation plant in the Matlab Simulink environment. Cascade neural networks consisting of a certain number of layers and neurons are used to develop the project. During the work, a cascade neural network was selected, in which the parameters of the technological system were trained.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference14 articles.

1. Verbally defined processes controlled by fuzzy controllers with input/output parameters represented by set of precise terms;Kayashev;2014 Int. conf. on mechanical engineering, automation and control systems (MEACS),2014

2. Simulation of salt production process;Muraveva;Int. conf. innovations and prospects of development of mining machinery and electrical engineering (IPDME 2017),2017

3. Chlorine condenser-evaporator simulation;Muraveva;Int. conf. innovations and prospects of development of mining machinery and electrical engineering (IPDME 2017),2017

4. Fuzzy controller adaptation;Myravyova;Int. conf. innovations and prospects of development of mining machinery and electrical engineering (IPDME 2017),2017

5. A neural network regulator for turbo generator;Wu;IEEE transactions on neural networks,1992

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3