设计了一种用于液位过程控制的神经模糊控制器

Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555) Pub Date : 2001-05-13 DOI:10.1109/CCECE.2001.933573

V. Tipsuwanporn, N. Koetsam-ang, V. Kongratana, A. Numomran, T. Suesut

{"title":"设计了一种用于液位过程控制的神经模糊控制器","authors":"V. Tipsuwanporn, N. Koetsam-ang, V. Kongratana, A. Numomran, T. Suesut","doi":"10.1109/CCECE.2001.933573","DOIUrl":null,"url":null,"abstract":"This paper presents the design and implementation of a self-organizing neurofuzzy controller for tuning the fuzzy logic parameter using back-propagation neural network. The controller is implemented by software on a microcomputer to control the unknown transfer function system of a real plant for testing the learning efficiency of self-organization and proper parameter tuning where the scaling factor (g/sub 0/, g/sub 1/) is set from an experiment corresponding with process characterization and the designer experience. The results show that the performance of this controller is improved in terms of the set point compared with the PID standard controller.","PeriodicalId":184523,"journal":{"name":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A design neurofuzzy controller for level process control\",\"authors\":\"V. Tipsuwanporn, N. Koetsam-ang, V. Kongratana, A. Numomran, T. Suesut\",\"doi\":\"10.1109/CCECE.2001.933573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design and implementation of a self-organizing neurofuzzy controller for tuning the fuzzy logic parameter using back-propagation neural network. The controller is implemented by software on a microcomputer to control the unknown transfer function system of a real plant for testing the learning efficiency of self-organization and proper parameter tuning where the scaling factor (g/sub 0/, g/sub 1/) is set from an experiment corresponding with process characterization and the designer experience. The results show that the performance of this controller is improved in terms of the set point compared with the PID standard controller.\",\"PeriodicalId\":184523,\"journal\":{\"name\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2001.933573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2001.933573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种基于反向传播神经网络的自组织模糊神经控制器的设计与实现。该控制器在微机上通过软件实现，用于控制实际装置的未知传递函数系统，以测试自组织的学习效率和适当的参数整定，其中比例因子(g/sub 0/， g/sub 1/)由过程表征和设计者经验相对应的实验设定。结果表明，与PID标准控制器相比，该控制器在设定点方面的性能有所提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A design neurofuzzy controller for level process control

This paper presents the design and implementation of a self-organizing neurofuzzy controller for tuning the fuzzy logic parameter using back-propagation neural network. The controller is implemented by software on a microcomputer to control the unknown transfer function system of a real plant for testing the learning efficiency of self-organization and proper parameter tuning where the scaling factor (g/sub 0/, g/sub 1/) is set from an experiment corresponding with process characterization and the designer experience. The results show that the performance of this controller is improved in terms of the set point compared with the PID standard controller.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)

自引率

0.00%

发文量