{"title":"非最小相位过程的自适应控制及其在立铣削过程中的应用","authors":"Jeff W. Barthel, Y. Shin","doi":"10.23919/ACC.1993.4793329","DOIUrl":null,"url":null,"abstract":"In this work a modified model reference adaptive control design is presented for use with nonminimum phase plants which are likely to exist in end milling processes. The control law is derived and several aspects pertaining to adaptive controller design are discussed. A modified recursive least squares algorithm is used for plant parameter estimation. Simulations are shown to illustrate the effectiveness of the control algorithm. Comparison are made with existing adaptive control schemes for non-minimum phase plants.","PeriodicalId":162700,"journal":{"name":"1993 American Control Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive Control of Nonminimum Phase Processes with Application to the End Millng Process\",\"authors\":\"Jeff W. Barthel, Y. Shin\",\"doi\":\"10.23919/ACC.1993.4793329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work a modified model reference adaptive control design is presented for use with nonminimum phase plants which are likely to exist in end milling processes. The control law is derived and several aspects pertaining to adaptive controller design are discussed. A modified recursive least squares algorithm is used for plant parameter estimation. Simulations are shown to illustrate the effectiveness of the control algorithm. Comparison are made with existing adaptive control schemes for non-minimum phase plants.\",\"PeriodicalId\":162700,\"journal\":{\"name\":\"1993 American Control Conference\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1993.4793329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1993.4793329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Control of Nonminimum Phase Processes with Application to the End Millng Process
In this work a modified model reference adaptive control design is presented for use with nonminimum phase plants which are likely to exist in end milling processes. The control law is derived and several aspects pertaining to adaptive controller design are discussed. A modified recursive least squares algorithm is used for plant parameter estimation. Simulations are shown to illustrate the effectiveness of the control algorithm. Comparison are made with existing adaptive control schemes for non-minimum phase plants.