{"title":"双转子MIMO系统的最优状态反馈控制器和观测器设计","authors":"R. Maiti, Kaushik Das Sharma, G. Sarkar","doi":"10.1109/CIEC.2016.7513774","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal state feedback controller and observer design technique for twin rotor MIMO system (TRMS). The objective is to design a state feedback controller and observer for TRMS by tuning the respective gains using stochastic algorithm, such as particle swarm optimization (PSO), so that it can capable of tracking the desired trajectory with improved transient performances. In this work, the state model of TRMS with six numbers of states are considered and only two of them are physically accessible to the designer, thus, an observer system is required to be implemented. Simulations are carried out to demonstrate the performance of the proposed controller and observer system.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal state feedback controller and observer design for twin rotor MIMO system\",\"authors\":\"R. Maiti, Kaushik Das Sharma, G. Sarkar\",\"doi\":\"10.1109/CIEC.2016.7513774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an optimal state feedback controller and observer design technique for twin rotor MIMO system (TRMS). The objective is to design a state feedback controller and observer for TRMS by tuning the respective gains using stochastic algorithm, such as particle swarm optimization (PSO), so that it can capable of tracking the desired trajectory with improved transient performances. In this work, the state model of TRMS with six numbers of states are considered and only two of them are physically accessible to the designer, thus, an observer system is required to be implemented. Simulations are carried out to demonstrate the performance of the proposed controller and observer system.\",\"PeriodicalId\":443343,\"journal\":{\"name\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIEC.2016.7513774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEC.2016.7513774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal state feedback controller and observer design for twin rotor MIMO system
This paper presents an optimal state feedback controller and observer design technique for twin rotor MIMO system (TRMS). The objective is to design a state feedback controller and observer for TRMS by tuning the respective gains using stochastic algorithm, such as particle swarm optimization (PSO), so that it can capable of tracking the desired trajectory with improved transient performances. In this work, the state model of TRMS with six numbers of states are considered and only two of them are physically accessible to the designer, thus, an observer system is required to be implemented. Simulations are carried out to demonstrate the performance of the proposed controller and observer system.