{"title":"基于扩展卡尔曼滤波的倒立摆飞行鲁棒控制","authors":"D. S. Maughan, Ishmaal Erekson, Rajnikant Sharma","doi":"10.1109/DSP-SPE.2015.7369535","DOIUrl":null,"url":null,"abstract":"We propose the use of an Extended Kalman Filter (EKF) for reliable state estimation in order to permit advanced control of the tip of a flying inverted pendulum while maintaining safety. We demonstrate the capabilities of an EKF in tandem with an accurate model to overcome bad or false data from a multiple camera motion capture system used for positioning.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"18 1","pages":"101-106"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Using Extended Kalman Filter for robust control of a flying inverted pendulum\",\"authors\":\"D. S. Maughan, Ishmaal Erekson, Rajnikant Sharma\",\"doi\":\"10.1109/DSP-SPE.2015.7369535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the use of an Extended Kalman Filter (EKF) for reliable state estimation in order to permit advanced control of the tip of a flying inverted pendulum while maintaining safety. We demonstrate the capabilities of an EKF in tandem with an accurate model to overcome bad or false data from a multiple camera motion capture system used for positioning.\",\"PeriodicalId\":91992,\"journal\":{\"name\":\"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)\",\"volume\":\"18 1\",\"pages\":\"101-106\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSP-SPE.2015.7369535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP-SPE.2015.7369535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Extended Kalman Filter for robust control of a flying inverted pendulum
We propose the use of an Extended Kalman Filter (EKF) for reliable state estimation in order to permit advanced control of the tip of a flying inverted pendulum while maintaining safety. We demonstrate the capabilities of an EKF in tandem with an accurate model to overcome bad or false data from a multiple camera motion capture system used for positioning.