Soumya Ranjan Mahapatro, B. Subudhi, Subhojit Ghosh
{"title":"耦合油箱系统最优控制设计的实验评价","authors":"Soumya Ranjan Mahapatro, B. Subudhi, Subhojit Ghosh","doi":"10.1109/ACES.2014.6807977","DOIUrl":null,"url":null,"abstract":"This paper presents a Linear Quadratic Regulator (LQR) controller for the real-time control of a coupled tank liquid level system. The model of the coupled tank system has been developed based on system identification technique that employs least square error algorithm (LS) for parameter estimation. The proposed controller algorithm has been applied on the identified model. The performance of the projected control algorithm has been compared with that of a Conventional PI controller. From both the simulation as well as the experimental results, it is observed that the performance of the proposed LQR control is more efficient then the widely used conventional PI Controller.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An experimental evaluation of optimal control design for coupled tank system\",\"authors\":\"Soumya Ranjan Mahapatro, B. Subudhi, Subhojit Ghosh\",\"doi\":\"10.1109/ACES.2014.6807977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Linear Quadratic Regulator (LQR) controller for the real-time control of a coupled tank liquid level system. The model of the coupled tank system has been developed based on system identification technique that employs least square error algorithm (LS) for parameter estimation. The proposed controller algorithm has been applied on the identified model. The performance of the projected control algorithm has been compared with that of a Conventional PI controller. From both the simulation as well as the experimental results, it is observed that the performance of the proposed LQR control is more efficient then the widely used conventional PI Controller.\",\"PeriodicalId\":353124,\"journal\":{\"name\":\"2014 First International Conference on Automation, Control, Energy and Systems (ACES)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 First International Conference on Automation, Control, Energy and Systems (ACES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACES.2014.6807977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACES.2014.6807977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An experimental evaluation of optimal control design for coupled tank system
This paper presents a Linear Quadratic Regulator (LQR) controller for the real-time control of a coupled tank liquid level system. The model of the coupled tank system has been developed based on system identification technique that employs least square error algorithm (LS) for parameter estimation. The proposed controller algorithm has been applied on the identified model. The performance of the projected control algorithm has been compared with that of a Conventional PI controller. From both the simulation as well as the experimental results, it is observed that the performance of the proposed LQR control is more efficient then the widely used conventional PI Controller.