{"title":"蒸汽动力装置的逆动力学控制","authors":"A.K. Fameliaris, C. Vournas","doi":"10.1109/CACSD.1994.288928","DOIUrl":null,"url":null,"abstract":"In this paper an artificial neural net is used to control the boiler of a steam power plant. The proposed controller is using a multi-input, multilayer artificial neural network, trained off-line using the error backpropagation algorithm, over a wide range of operating conditions. The data used during the learning phase are calculated by simulating the drum boiler dynamics. The proposed controller has been tested by simulating its online operation, using a medium size boiler model.<<ETX>>","PeriodicalId":197997,"journal":{"name":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Inverse dynamics control of a steam power plant\",\"authors\":\"A.K. Fameliaris, C. Vournas\",\"doi\":\"10.1109/CACSD.1994.288928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an artificial neural net is used to control the boiler of a steam power plant. The proposed controller is using a multi-input, multilayer artificial neural network, trained off-line using the error backpropagation algorithm, over a wide range of operating conditions. The data used during the learning phase are calculated by simulating the drum boiler dynamics. The proposed controller has been tested by simulating its online operation, using a medium size boiler model.<<ETX>>\",\"PeriodicalId\":197997,\"journal\":{\"name\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACSD.1994.288928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACSD.1994.288928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper an artificial neural net is used to control the boiler of a steam power plant. The proposed controller is using a multi-input, multilayer artificial neural network, trained off-line using the error backpropagation algorithm, over a wide range of operating conditions. The data used during the learning phase are calculated by simulating the drum boiler dynamics. The proposed controller has been tested by simulating its online operation, using a medium size boiler model.<>
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