{"title":"基于启发式优化的旋转倒立摆LQR加权矩阵选择","authors":"Krishanu Nath, L. Dewan","doi":"10.1109/RTECC.2018.8625676","DOIUrl":null,"url":null,"abstract":"The choice of weighting matrices of the linear quadratic regulator (LQR) is one such decision which has a great effect on the dynamics of the system. There exists a nonlinear relationship between the dynamics of plant and their numerical values. Problems where such nonlinear relation exists, heuristic have served very useful to extract a better solution. In this paper, an attempt is made for the optimal choice of LQR weighting matrices using heuristic optimization techniques for a rotary inverted pendulum such that the settling time of the system is minimized.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Heuristic optimization based choice of LQR weighting matrices for a rotary inverted pendulum\",\"authors\":\"Krishanu Nath, L. Dewan\",\"doi\":\"10.1109/RTECC.2018.8625676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The choice of weighting matrices of the linear quadratic regulator (LQR) is one such decision which has a great effect on the dynamics of the system. There exists a nonlinear relationship between the dynamics of plant and their numerical values. Problems where such nonlinear relation exists, heuristic have served very useful to extract a better solution. In this paper, an attempt is made for the optimal choice of LQR weighting matrices using heuristic optimization techniques for a rotary inverted pendulum such that the settling time of the system is minimized.\",\"PeriodicalId\":445688,\"journal\":{\"name\":\"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTECC.2018.8625676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTECC.2018.8625676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heuristic optimization based choice of LQR weighting matrices for a rotary inverted pendulum
The choice of weighting matrices of the linear quadratic regulator (LQR) is one such decision which has a great effect on the dynamics of the system. There exists a nonlinear relationship between the dynamics of plant and their numerical values. Problems where such nonlinear relation exists, heuristic have served very useful to extract a better solution. In this paper, an attempt is made for the optimal choice of LQR weighting matrices using heuristic optimization techniques for a rotary inverted pendulum such that the settling time of the system is minimized.