V. Kazak, D. Shevchuk, N. Tymoshenko, I. V. Prochorenko
{"title":"气象条件不稳定作用下arial飞行器状态估计与辨识方法","authors":"V. Kazak, D. Shevchuk, N. Tymoshenko, I. V. Prochorenko","doi":"10.1109/MSNMC.2016.7783152","DOIUrl":null,"url":null,"abstract":"Here we explain method and models for hover mode of aerial vehicle (helicopter) as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter and standard sensors.","PeriodicalId":420538,"journal":{"name":"2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method of state estimation and identification of the arial vehicle under destabilizing action of weather conditions\",\"authors\":\"V. Kazak, D. Shevchuk, N. Tymoshenko, I. V. Prochorenko\",\"doi\":\"10.1109/MSNMC.2016.7783152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Here we explain method and models for hover mode of aerial vehicle (helicopter) as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter and standard sensors.\",\"PeriodicalId\":420538,\"journal\":{\"name\":\"2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSNMC.2016.7783152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSNMC.2016.7783152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method of state estimation and identification of the arial vehicle under destabilizing action of weather conditions
Here we explain method and models for hover mode of aerial vehicle (helicopter) as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter and standard sensors.