{"title":"火电厂水质调节系统的模糊免疫自适应Smith-PID控制","authors":"Shuhua Peng, C. Hao, Denghua Li","doi":"10.1109/IWISA.2010.5473245","DOIUrl":null,"url":null,"abstract":"Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy Immune Adaptive Smith-PID Control for Water Quality Adjusting System of Thermal Power Plant\",\"authors\":\"Shuhua Peng, C. Hao, Denghua Li\",\"doi\":\"10.1109/IWISA.2010.5473245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Immune Adaptive Smith-PID Control for Water Quality Adjusting System of Thermal Power Plant
Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.
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