{"title":"基于模糊逻辑的地月点智能卫星控制","authors":"F. A. Zotes, M. Peñas","doi":"10.1109/ISKE.2010.5680762","DOIUrl":null,"url":null,"abstract":"One of the most challenging issues in astrodynamic is the control of the satellites, in order to achieve a certain trajectory or to maintain some specific position with respect to a planet or to other spacecrafts. An interesting and quite innovative problem is the control of satellites around the five Lagrangian points of a binary system, using continuous thrust. In this work, using a complex and realistic model of the binary system, intelligent systems based on fuzzy logic are used to control the satellites in the Earth-Moon Libration points. The fuzzy controllers have been compared to conventional ones and it has been proved how this intelligent strategy reduces the control effort and therefore the fuel budget.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"32 1","pages":"605-610"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Intelligent satellites control based on fuzzy logic in the Earth-Moon Libration points\",\"authors\":\"F. A. Zotes, M. Peñas\",\"doi\":\"10.1109/ISKE.2010.5680762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most challenging issues in astrodynamic is the control of the satellites, in order to achieve a certain trajectory or to maintain some specific position with respect to a planet or to other spacecrafts. An interesting and quite innovative problem is the control of satellites around the five Lagrangian points of a binary system, using continuous thrust. In this work, using a complex and realistic model of the binary system, intelligent systems based on fuzzy logic are used to control the satellites in the Earth-Moon Libration points. The fuzzy controllers have been compared to conventional ones and it has been proved how this intelligent strategy reduces the control effort and therefore the fuel budget.\",\"PeriodicalId\":6417,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"volume\":\"32 1\",\"pages\":\"605-610\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2010.5680762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2010.5680762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent satellites control based on fuzzy logic in the Earth-Moon Libration points
One of the most challenging issues in astrodynamic is the control of the satellites, in order to achieve a certain trajectory or to maintain some specific position with respect to a planet or to other spacecrafts. An interesting and quite innovative problem is the control of satellites around the five Lagrangian points of a binary system, using continuous thrust. In this work, using a complex and realistic model of the binary system, intelligent systems based on fuzzy logic are used to control the satellites in the Earth-Moon Libration points. The fuzzy controllers have been compared to conventional ones and it has been proved how this intelligent strategy reduces the control effort and therefore the fuel budget.