{"title":"Mathematical Model of Airborne Stabilization System","authors":"O. Sushchenko","doi":"10.1109/CSIT56902.2022.10000500","DOIUrl":null,"url":null,"abstract":"This paper deals with developing a model of the airborne stabilization system. The matrices of directional cosines for transformations between inertial and body-axis systems of coordinates are obtained. The features of dynamic and kinematic properties of the gimballed stabilization system are represented. The expressions for control moments during stabilization are derived. The obtained models ensure the process of designing a robust stabilization system able to operate in difficult conditions of external perturbations. Results of modelling are shown. The computer simulation of transient processes provei the efficiency of the developed model. The research is directed to solving the problem of creating stabilization system based on new computer technologies.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper deals with developing a model of the airborne stabilization system. The matrices of directional cosines for transformations between inertial and body-axis systems of coordinates are obtained. The features of dynamic and kinematic properties of the gimballed stabilization system are represented. The expressions for control moments during stabilization are derived. The obtained models ensure the process of designing a robust stabilization system able to operate in difficult conditions of external perturbations. Results of modelling are shown. The computer simulation of transient processes provei the efficiency of the developed model. The research is directed to solving the problem of creating stabilization system based on new computer technologies.