{"title":"多参考模型鲁棒MIMO广义预测控制在直升机中的应用","authors":"P. Codron, P. Boucher","doi":"10.1109/CCA.1993.348241","DOIUrl":null,"url":null,"abstract":"This paper is concerned with multivariable generalized predictive control with multiple reference model in its polynomial form (MIMO GPC/MRM). The results presented by Robinson and Clarke (1991) are extended to the MlMO GPC/MRM method and it is shown how to apply them. Then the method is applied to a helicopter; simulation results are given which show the decoupling efficiency and the robustness of the controller by a test on a weakly mismatched system and the improvement of the robustness brought by the T matrix filter on a strongly mismatched system.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust MIMO generalized predictive control with multiple reference model: a helicopter application\",\"authors\":\"P. Codron, P. Boucher\",\"doi\":\"10.1109/CCA.1993.348241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with multivariable generalized predictive control with multiple reference model in its polynomial form (MIMO GPC/MRM). The results presented by Robinson and Clarke (1991) are extended to the MlMO GPC/MRM method and it is shown how to apply them. Then the method is applied to a helicopter; simulation results are given which show the decoupling efficiency and the robustness of the controller by a test on a weakly mismatched system and the improvement of the robustness brought by the T matrix filter on a strongly mismatched system.<<ETX>>\",\"PeriodicalId\":276779,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Control and Applications\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Control and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.1993.348241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Control and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.1993.348241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust MIMO generalized predictive control with multiple reference model: a helicopter application
This paper is concerned with multivariable generalized predictive control with multiple reference model in its polynomial form (MIMO GPC/MRM). The results presented by Robinson and Clarke (1991) are extended to the MlMO GPC/MRM method and it is shown how to apply them. Then the method is applied to a helicopter; simulation results are given which show the decoupling efficiency and the robustness of the controller by a test on a weakly mismatched system and the improvement of the robustness brought by the T matrix filter on a strongly mismatched system.<>