{"title":"基于LQR的无人直升机Q,R搜索方法","authors":"B. Wang, Xiangyang Xu, Y. Dai, G. Shi","doi":"10.1109/IHMSC.2013.199","DOIUrl":null,"url":null,"abstract":"Based on a simplified mathematical model of a certain type of unmanned helicopter (UMH), this paper realizes its longitudinal hovering attitude control Based on LQR (linear quadratic regulator). This paper starts with practice, and designs Q, R parameter search algorithm for this type of unmanned helicopter. Simulation results show that this algorithm can find the optimal Q, R parameters, so it has important engineering significance.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Q,R Search Method for an Unmanned Helicopter Based on LQR\",\"authors\":\"B. Wang, Xiangyang Xu, Y. Dai, G. Shi\",\"doi\":\"10.1109/IHMSC.2013.199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on a simplified mathematical model of a certain type of unmanned helicopter (UMH), this paper realizes its longitudinal hovering attitude control Based on LQR (linear quadratic regulator). This paper starts with practice, and designs Q, R parameter search algorithm for this type of unmanned helicopter. Simulation results show that this algorithm can find the optimal Q, R parameters, so it has important engineering significance.\",\"PeriodicalId\":222375,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2013.199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Q,R Search Method for an Unmanned Helicopter Based on LQR
Based on a simplified mathematical model of a certain type of unmanned helicopter (UMH), this paper realizes its longitudinal hovering attitude control Based on LQR (linear quadratic regulator). This paper starts with practice, and designs Q, R parameter search algorithm for this type of unmanned helicopter. Simulation results show that this algorithm can find the optimal Q, R parameters, so it has important engineering significance.