{"title":"Reduced Order Controller for The Alstom Gasifier Plant","authors":"A. Yousefi, B. Lohmann","doi":"10.1109/MED.2006.328853","DOIUrl":null,"url":null,"abstract":"This paper presents a reduced order controller design approach for the Alstom benchmark, which drastically improves the simplicity and reduces the computation effort of the controller algorithm. As the gasifier process is complex with a high degree of cross coupling of the variables, designing a good controller is difficult. The use of optimal control method allows the simultaneous tuning a controller and seeking a tradeoff between the different performance objectives. But it results in a high order controller, which is not in practice desirable. Therefore in this paper, the full order observer is replaced with a reduced one and the state feedback is recalculated such that it guarantees the stability and recovers the performance. This idea can be regarded independent of the case study as a new method for designing a low order controller for high order plants","PeriodicalId":347035,"journal":{"name":"2006 14th Mediterranean Conference on Control and Automation","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 14th Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2006.328853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a reduced order controller design approach for the Alstom benchmark, which drastically improves the simplicity and reduces the computation effort of the controller algorithm. As the gasifier process is complex with a high degree of cross coupling of the variables, designing a good controller is difficult. The use of optimal control method allows the simultaneous tuning a controller and seeking a tradeoff between the different performance objectives. But it results in a high order controller, which is not in practice desirable. Therefore in this paper, the full order observer is replaced with a reduced one and the state feedback is recalculated such that it guarantees the stability and recovers the performance. This idea can be regarded independent of the case study as a new method for designing a low order controller for high order plants