Chen Zhao, Jie Liu, Hao Zhang, Zhenfei Song, Yajie Chang
{"title":"Precise Intelligent Orbit Control Strategy on Geostationary Orbit Satellite","authors":"Chen Zhao, Jie Liu, Hao Zhang, Zhenfei Song, Yajie Chang","doi":"10.1109/ICCSSE.2019.00040","DOIUrl":null,"url":null,"abstract":"The level of intelligent autonomy of satellites determines the ability and efficiency of human beings in exploring and utilizing space in the future. As the central nervous system of satellites, the intelligent control system of satellites is one of the decisive factors in the development of software-defined satellites. In order to alleviate the pressure of orbit control on ground operation and control system, an intelligent orbit control strategy for geostationary orbit satellites is designed based on the open software architecture of software-defined satellites, which enables satellites to complete orbit control independently of human intervention. The simulation results verify that the orbit control strategy can use less propellant than traditional orbit maintenance to keep the position error of satellite track within (+10km) autonomously, which effectively improves the intelligent level of satellite orbit control.","PeriodicalId":443482,"journal":{"name":"2019 5th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"21 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSSE.2019.00040","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
The level of intelligent autonomy of satellites determines the ability and efficiency of human beings in exploring and utilizing space in the future. As the central nervous system of satellites, the intelligent control system of satellites is one of the decisive factors in the development of software-defined satellites. In order to alleviate the pressure of orbit control on ground operation and control system, an intelligent orbit control strategy for geostationary orbit satellites is designed based on the open software architecture of software-defined satellites, which enables satellites to complete orbit control independently of human intervention. The simulation results verify that the orbit control strategy can use less propellant than traditional orbit maintenance to keep the position error of satellite track within (+10km) autonomously, which effectively improves the intelligent level of satellite orbit control.