M. S. Oliveira, R. L. Pereira, Anderson Tiago de Moraes
{"title":"A Robust Unknown Input Observer Design applied to an Industrial Pilot Plant","authors":"M. S. Oliveira, R. L. Pereira, Anderson Tiago de Moraes","doi":"10.17648/sbai-2019-111312","DOIUrl":null,"url":null,"abstract":": This paper presents a robust unknown input observer (UIO) design procedure applied to an industrial pilot plant. The proposed design investigates the possible advantages of a proportional-integral UIO (PI-UIO) to solve the problem of states and disturbances estimation when the industrial plant is subject to parametric uncertainties. Existence conditions to obtain the PI-UIO structure are provided, as well as Linear Matrix Inequalities (LMIs) conditions to ensure the robust stability for the closed-loop system. A practical comparison using a proportional UIO widely used in the literature and the proposed approach is made. Finally, experimental results obtained with the application of the two UIOs strategies are presented.","PeriodicalId":130927,"journal":{"name":"Anais do 14º Simpósio Brasileiro de Automação Inteligente","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do 14º Simpósio Brasileiro de Automação Inteligente","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17648/sbai-2019-111312","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 robust unknown input observer (UIO) design procedure applied to an industrial pilot plant. The proposed design investigates the possible advantages of a proportional-integral UIO (PI-UIO) to solve the problem of states and disturbances estimation when the industrial plant is subject to parametric uncertainties. Existence conditions to obtain the PI-UIO structure are provided, as well as Linear Matrix Inequalities (LMIs) conditions to ensure the robust stability for the closed-loop system. A practical comparison using a proportional UIO widely used in the literature and the proposed approach is made. Finally, experimental results obtained with the application of the two UIOs strategies are presented.