{"title":"电化学电池的边界跟踪控制","authors":"R. Tenno, A. Mendelson","doi":"10.1109/MED.2010.5547779","DOIUrl":null,"url":null,"abstract":"This paper reports boundary tracking control for an electrochemical cell. The feedforward control law is derived from inversed problem for the given reference trajectory on the cathode boundary. The equations of optimal linear filtering are utilized to estimate an unknown time-varying linear parameter of the model. The feedforward control is complimented with a PI feedback control and adaptive control to track the desired reference signal in the case of model uncertainty and disturbances. The proposed control laws are simulated and shown to be effective.","PeriodicalId":149864,"journal":{"name":"18th Mediterranean Conference on Control and Automation, MED'10","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Boundary tracking control for an electrochemical cell\",\"authors\":\"R. Tenno, A. Mendelson\",\"doi\":\"10.1109/MED.2010.5547779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports boundary tracking control for an electrochemical cell. The feedforward control law is derived from inversed problem for the given reference trajectory on the cathode boundary. The equations of optimal linear filtering are utilized to estimate an unknown time-varying linear parameter of the model. The feedforward control is complimented with a PI feedback control and adaptive control to track the desired reference signal in the case of model uncertainty and disturbances. The proposed control laws are simulated and shown to be effective.\",\"PeriodicalId\":149864,\"journal\":{\"name\":\"18th Mediterranean Conference on Control and Automation, MED'10\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th Mediterranean Conference on Control and Automation, MED'10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2010.5547779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th Mediterranean Conference on Control and Automation, MED'10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2010.5547779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Boundary tracking control for an electrochemical cell
This paper reports boundary tracking control for an electrochemical cell. The feedforward control law is derived from inversed problem for the given reference trajectory on the cathode boundary. The equations of optimal linear filtering are utilized to estimate an unknown time-varying linear parameter of the model. The feedforward control is complimented with a PI feedback control and adaptive control to track the desired reference signal in the case of model uncertainty and disturbances. The proposed control laws are simulated and shown to be effective.
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