{"title":"微藻厌氧消化过程的多重预测控制","authors":"F. Stîngă, E. Petre, M. Marian","doi":"10.1109/ICSTCC.2017.8107064","DOIUrl":null,"url":null,"abstract":"This paper proposes a multiple predictive control strategy in order to control a combination of substrate concentrations inside of an anaerobic digestion process of microalgae. Based on the linear approximation of the original nonlinear model, an optimal control algorithm was developed and tested by simulation experiments. The obtained results validate the effectiveness and robustness of the proposed algorithm.","PeriodicalId":374572,"journal":{"name":"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple predictive control of an anaerobic digestion process of microalgae\",\"authors\":\"F. Stîngă, E. Petre, M. Marian\",\"doi\":\"10.1109/ICSTCC.2017.8107064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a multiple predictive control strategy in order to control a combination of substrate concentrations inside of an anaerobic digestion process of microalgae. Based on the linear approximation of the original nonlinear model, an optimal control algorithm was developed and tested by simulation experiments. The obtained results validate the effectiveness and robustness of the proposed algorithm.\",\"PeriodicalId\":374572,\"journal\":{\"name\":\"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCC.2017.8107064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2017.8107064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple predictive control of an anaerobic digestion process of microalgae
This paper proposes a multiple predictive control strategy in order to control a combination of substrate concentrations inside of an anaerobic digestion process of microalgae. Based on the linear approximation of the original nonlinear model, an optimal control algorithm was developed and tested by simulation experiments. The obtained results validate the effectiveness and robustness of the proposed algorithm.