{"title":"高架起重机的插值增益调度控制器","authors":"Keivan Zavari, G. Pipeleers, J. Swevers","doi":"10.1109/AMC.2012.6197045","DOIUrl":null,"url":null,"abstract":"This paper presents a practical way to design gain-scheduled controllers for linear parameter varying (LPV) systems. An existing state-space model interpolation method for LPV systems is exploited in order to derive the desired controller. The interpolation requires designing local LTI controllers for local working conditions of the system, which is performed using a multi-objective H∞ approach. To simplify the weighting function design, the H∞ objective is broken apart into different H∞ design objectives and constraints, each related to various input-output combinations. The developed LPV control design approach is illustrated on an over-head crane system.","PeriodicalId":6439,"journal":{"name":"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Interpolated gain-scheduled controllers for an over-head crane\",\"authors\":\"Keivan Zavari, G. Pipeleers, J. Swevers\",\"doi\":\"10.1109/AMC.2012.6197045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a practical way to design gain-scheduled controllers for linear parameter varying (LPV) systems. An existing state-space model interpolation method for LPV systems is exploited in order to derive the desired controller. The interpolation requires designing local LTI controllers for local working conditions of the system, which is performed using a multi-objective H∞ approach. To simplify the weighting function design, the H∞ objective is broken apart into different H∞ design objectives and constraints, each related to various input-output combinations. The developed LPV control design approach is illustrated on an over-head crane system.\",\"PeriodicalId\":6439,\"journal\":{\"name\":\"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)\",\"volume\":\"24 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMC.2012.6197045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2012.6197045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpolated gain-scheduled controllers for an over-head crane
This paper presents a practical way to design gain-scheduled controllers for linear parameter varying (LPV) systems. An existing state-space model interpolation method for LPV systems is exploited in order to derive the desired controller. The interpolation requires designing local LTI controllers for local working conditions of the system, which is performed using a multi-objective H∞ approach. To simplify the weighting function design, the H∞ objective is broken apart into different H∞ design objectives and constraints, each related to various input-output combinations. The developed LPV control design approach is illustrated on an over-head crane system.