{"title":"基于模糊优化器的飞机模型跟踪控制仿真","authors":"S. Swanson","doi":"10.1109/IFIS.1993.324181","DOIUrl":null,"url":null,"abstract":"A software model of NASA's Shuttle Training Aircraft is used to model-follow a Boeing 747. A classical linear control system is used to perform the model-following. In addition a fuzzy optimizer is created which modifies the gains of a classical control system to enhance performance. The fuzzy optimizer uses the past performance of the control system as input and outputs chances to the gains.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Aircraft model-following control simulation with a fuzzy optimizer\",\"authors\":\"S. Swanson\",\"doi\":\"10.1109/IFIS.1993.324181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A software model of NASA's Shuttle Training Aircraft is used to model-follow a Boeing 747. A classical linear control system is used to perform the model-following. In addition a fuzzy optimizer is created which modifies the gains of a classical control system to enhance performance. The fuzzy optimizer uses the past performance of the control system as input and outputs chances to the gains.<<ETX>>\",\"PeriodicalId\":408138,\"journal\":{\"name\":\"Third International Conference on Industrial Fuzzy Control and Intelligent Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Industrial Fuzzy Control and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFIS.1993.324181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFIS.1993.324181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aircraft model-following control simulation with a fuzzy optimizer
A software model of NASA's Shuttle Training Aircraft is used to model-follow a Boeing 747. A classical linear control system is used to perform the model-following. In addition a fuzzy optimizer is created which modifies the gains of a classical control system to enhance performance. The fuzzy optimizer uses the past performance of the control system as input and outputs chances to the gains.<>