{"title":"撞击式无人机导航综合体","authors":"","doi":"10.36652/0869-4931-2023-77-7-315-318","DOIUrl":null,"url":null,"abstract":"The navigation complex of a promising impact unmanned vehicle is studied. With respect to the features of navigation systems are determined the composition of the navigation complex. An adaptive estimation algorithm is chosen to correct the inertial navigation system. The structure of the navigation complex, which provides the best choice of the working contour and is distinguished by ease of implementation on board an unmanned aerial vehicle is developed. The choice of a navigation information sensor external to the inertial system based on the analysis of covariance matrices of estimation errors is carried out.\n\nKeywords\nimpact unmanned aerial vehicle, navigation system, estimation algorithm, inertial navigation system, Kalman filter, estimation error covariance matrix","PeriodicalId":309803,"journal":{"name":"Automation. Modern Techologies","volume":"403 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigation complex of impact unmanned aerial vehicle\",\"authors\":\"\",\"doi\":\"10.36652/0869-4931-2023-77-7-315-318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The navigation complex of a promising impact unmanned vehicle is studied. With respect to the features of navigation systems are determined the composition of the navigation complex. An adaptive estimation algorithm is chosen to correct the inertial navigation system. The structure of the navigation complex, which provides the best choice of the working contour and is distinguished by ease of implementation on board an unmanned aerial vehicle is developed. The choice of a navigation information sensor external to the inertial system based on the analysis of covariance matrices of estimation errors is carried out.\\n\\nKeywords\\nimpact unmanned aerial vehicle, navigation system, estimation algorithm, inertial navigation system, Kalman filter, estimation error covariance matrix\",\"PeriodicalId\":309803,\"journal\":{\"name\":\"Automation. Modern Techologies\",\"volume\":\"403 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation. Modern Techologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36652/0869-4931-2023-77-7-315-318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation. Modern Techologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36652/0869-4931-2023-77-7-315-318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Navigation complex of impact unmanned aerial vehicle
The navigation complex of a promising impact unmanned vehicle is studied. With respect to the features of navigation systems are determined the composition of the navigation complex. An adaptive estimation algorithm is chosen to correct the inertial navigation system. The structure of the navigation complex, which provides the best choice of the working contour and is distinguished by ease of implementation on board an unmanned aerial vehicle is developed. The choice of a navigation information sensor external to the inertial system based on the analysis of covariance matrices of estimation errors is carried out.
Keywords
impact unmanned aerial vehicle, navigation system, estimation algorithm, inertial navigation system, Kalman filter, estimation error covariance matrix