{"title":"基于模糊逻辑和LQR的三自由度直升机模型控制策略设计","authors":"Zhichao Liu, Zouhair Choukri el haj, H. Shi","doi":"10.1109/ICICIP.2010.5564250","DOIUrl":null,"url":null,"abstract":"In this paper the elevation and traveling control strategy -fuzzy logic which is based on the LQR for a helicopter with three degrees of freedom is considered. The characteristic of channel coupling and nonlinearity of the system will be resolved by dividing the workplace into 4 phases which the system has a linear behavior, the phases are independently considered and LQR controllers are designed separately. It is then shown that fuzzy logic is used to combine all phases and chooses the appropriate controller parameters for the appropriate phase and so on can stabilize the whole nonlinear system. The performance of this strategy is shown by real response in the end of the paper compared to simple LQR.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Control strategy design based on fuzzy logic and LQR for 3-DOF helicopter model\",\"authors\":\"Zhichao Liu, Zouhair Choukri el haj, H. Shi\",\"doi\":\"10.1109/ICICIP.2010.5564250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the elevation and traveling control strategy -fuzzy logic which is based on the LQR for a helicopter with three degrees of freedom is considered. The characteristic of channel coupling and nonlinearity of the system will be resolved by dividing the workplace into 4 phases which the system has a linear behavior, the phases are independently considered and LQR controllers are designed separately. It is then shown that fuzzy logic is used to combine all phases and chooses the appropriate controller parameters for the appropriate phase and so on can stabilize the whole nonlinear system. The performance of this strategy is shown by real response in the end of the paper compared to simple LQR.\",\"PeriodicalId\":152024,\"journal\":{\"name\":\"2010 International Conference on Intelligent Control and Information Processing\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Intelligent Control and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2010.5564250\",\"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 International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2010.5564250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control strategy design based on fuzzy logic and LQR for 3-DOF helicopter model
In this paper the elevation and traveling control strategy -fuzzy logic which is based on the LQR for a helicopter with three degrees of freedom is considered. The characteristic of channel coupling and nonlinearity of the system will be resolved by dividing the workplace into 4 phases which the system has a linear behavior, the phases are independently considered and LQR controllers are designed separately. It is then shown that fuzzy logic is used to combine all phases and chooses the appropriate controller parameters for the appropriate phase and so on can stabilize the whole nonlinear system. The performance of this strategy is shown by real response in the end of the paper compared to simple LQR.