Harshavardhana Reddy K, Sachin Sharma, Avagaddi Prasad, Shivarama Krishna K
{"title":"二阶时滞过程LQR PI控制器的设计与实现","authors":"Harshavardhana Reddy K, Sachin Sharma, Avagaddi Prasad, Shivarama Krishna K","doi":"10.1109/IATMSI56455.2022.10119366","DOIUrl":null,"url":null,"abstract":"In this paper, an optimal PI Controller has been designed using continuous Linear Quadratic Regulator (LQR) theory for the application of first order plus time delay (FOPTD) systems. In general, time delays can limit and deteriorate the achievable system performance and induce stability. To achieve the optimal performance, the LQR PI controller is designed, the selection of weight matrices Q plays a key role in the design in order to minimize settling time, peak overshoot and Integral Absolute Error (IAE). So, selection of Q matrices is proposed using Lyapunov Function incorporated with the state feedback gain matrix. In this, Lyapunov function gives the stability of the system and the state feedback gain matrix gives optimal PI Controller gains. The proposed","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of LQR PI Controller for Second-order Time Delay Process\",\"authors\":\"Harshavardhana Reddy K, Sachin Sharma, Avagaddi Prasad, Shivarama Krishna K\",\"doi\":\"10.1109/IATMSI56455.2022.10119366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an optimal PI Controller has been designed using continuous Linear Quadratic Regulator (LQR) theory for the application of first order plus time delay (FOPTD) systems. In general, time delays can limit and deteriorate the achievable system performance and induce stability. To achieve the optimal performance, the LQR PI controller is designed, the selection of weight matrices Q plays a key role in the design in order to minimize settling time, peak overshoot and Integral Absolute Error (IAE). So, selection of Q matrices is proposed using Lyapunov Function incorporated with the state feedback gain matrix. In this, Lyapunov function gives the stability of the system and the state feedback gain matrix gives optimal PI Controller gains. The proposed\",\"PeriodicalId\":221211,\"journal\":{\"name\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IATMSI56455.2022.10119366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IATMSI56455.2022.10119366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of LQR PI Controller for Second-order Time Delay Process
In this paper, an optimal PI Controller has been designed using continuous Linear Quadratic Regulator (LQR) theory for the application of first order plus time delay (FOPTD) systems. In general, time delays can limit and deteriorate the achievable system performance and induce stability. To achieve the optimal performance, the LQR PI controller is designed, the selection of weight matrices Q plays a key role in the design in order to minimize settling time, peak overshoot and Integral Absolute Error (IAE). So, selection of Q matrices is proposed using Lyapunov Function incorporated with the state feedback gain matrix. In this, Lyapunov function gives the stability of the system and the state feedback gain matrix gives optimal PI Controller gains. The proposed