一种应用于主动噪声控制的自整定模糊滤波u算法

IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243) Pub Date : 2001-11-29 DOI:10.1109/IECON.2001.976528

Cheng-Yuan Chang, K. Shyu

{"title":"一种应用于主动噪声控制的自整定模糊滤波u算法","authors":"Cheng-Yuan Chang, K. Shyu","doi":"10.1109/IECON.2001.976528","DOIUrl":null,"url":null,"abstract":"The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced.","PeriodicalId":345608,"journal":{"name":"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A self-tuning fuzzy filtered-U algorithm with the application of active noise control\",\"authors\":\"Cheng-Yuan Chang, K. Shyu\",\"doi\":\"10.1109/IECON.2001.976528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced.\",\"PeriodicalId\":345608,\"journal\":{\"name\":\"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2001.976528\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2001.976528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

所提出的模糊方法保证了系统对不稳定极点的主动噪声控制(ANC)，与传统的滤波u型设计一样;因此，性能得到了提高。此外，模糊算法还利用自动控制系统的输入输出数据关系来构建控制规则。因此降低了设计的复杂性。

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 self-tuning fuzzy filtered-U algorithm with the application of active noise control

The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced.

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

IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)

自引率

0.00%

发文量