{"title":"非线性观测器理论在航空航天中的应用","authors":"S. Gully","doi":"10.1109/CDC.1979.270260","DOIUrl":null,"url":null,"abstract":"The concept of nonlinear observer theory is used to address control problems typical of many aerospace applications requiring high performance. Basically, nonlinear observers are employed to reconstruct system states which are related in some nonlinear way. A feed-forward technique, called the command generator tracker (Ref. 1), is then constructed to feed this information forward to the control channels to optimize performance The design structure is set up in such a way that conventional (optimal) feedback techniques are implemented independently to stabilize the system about trajectory perturbations Examples of this technique are given for three widely different aerospace applications and performance improvement is compared to classical and linear optimal designs.","PeriodicalId":338908,"journal":{"name":"1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1979-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Aerospace applications of nonlinear observer theory\",\"authors\":\"S. Gully\",\"doi\":\"10.1109/CDC.1979.270260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of nonlinear observer theory is used to address control problems typical of many aerospace applications requiring high performance. Basically, nonlinear observers are employed to reconstruct system states which are related in some nonlinear way. A feed-forward technique, called the command generator tracker (Ref. 1), is then constructed to feed this information forward to the control channels to optimize performance The design structure is set up in such a way that conventional (optimal) feedback techniques are implemented independently to stabilize the system about trajectory perturbations Examples of this technique are given for three widely different aerospace applications and performance improvement is compared to classical and linear optimal designs.\",\"PeriodicalId\":338908,\"journal\":{\"name\":\"1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1979-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1979.270260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1979.270260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aerospace applications of nonlinear observer theory
The concept of nonlinear observer theory is used to address control problems typical of many aerospace applications requiring high performance. Basically, nonlinear observers are employed to reconstruct system states which are related in some nonlinear way. A feed-forward technique, called the command generator tracker (Ref. 1), is then constructed to feed this information forward to the control channels to optimize performance The design structure is set up in such a way that conventional (optimal) feedback techniques are implemented independently to stabilize the system about trajectory perturbations Examples of this technique are given for three widely different aerospace applications and performance improvement is compared to classical and linear optimal designs.