{"title":"二氧化碳跨临界电力循环系统的建模与约束预测控制","authors":"Jian-hang Zhang, Haopeng Hu, Xuefei Jiang, G. Hou","doi":"10.1109/ICIEA.2017.8282811","DOIUrl":null,"url":null,"abstract":"In this paper, a physical model in state-space form is established for CO2 transcritical power cycle systems. Constrained model predictive control algorithm is applied to control the waste heat recovery system. Simulation results show that the predictive control method have good performance for disturbance rejection and set-point tracking. In addition, the waste heat from the exhaust gas can be well utilized.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and constrained predictive control for a carbon dioxide transcritical power cycle system\",\"authors\":\"Jian-hang Zhang, Haopeng Hu, Xuefei Jiang, G. Hou\",\"doi\":\"10.1109/ICIEA.2017.8282811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a physical model in state-space form is established for CO2 transcritical power cycle systems. Constrained model predictive control algorithm is applied to control the waste heat recovery system. Simulation results show that the predictive control method have good performance for disturbance rejection and set-point tracking. In addition, the waste heat from the exhaust gas can be well utilized.\",\"PeriodicalId\":443463,\"journal\":{\"name\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2017.8282811\",\"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 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8282811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and constrained predictive control for a carbon dioxide transcritical power cycle system
In this paper, a physical model in state-space form is established for CO2 transcritical power cycle systems. Constrained model predictive control algorithm is applied to control the waste heat recovery system. Simulation results show that the predictive control method have good performance for disturbance rejection and set-point tracking. In addition, the waste heat from the exhaust gas can be well utilized.