{"title":"双转子Mimo系统(TRMS)最优控制器设计","authors":"Kumar Vivek Ranjan, V. Laxmi","doi":"10.1109/ICSCDS53736.2022.9760778","DOIUrl":null,"url":null,"abstract":"The TRMS is a prototype helicopter. The reason to study the TRMS theory and creating a controller to manage TRMS reaction is to develop a platform for helicopter flight control. This research linearized and described the nonlinear model in state space form. To control activity, a MIMO Twin Rotor system was designed with a Linear Quadratic Gaussian (LQG) compensator. In order to construct a controller, a 2-DOF dynamic model was used to study pitch and yaw motion. The two-stage layout method begins with the creation of an optimal LQR and ends with the creation of a Kalman filter observer. To achieve the required response, the LQR parameters Q and R are changed at arbitrary. Later, the BFO approach was applied to improve the LQG compensator's Q and R parameters. Simulations indicate that the proposed controller can meet the requirements.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of an Optimal Controller for a Twin Rotor Mimo System (TRMS)\",\"authors\":\"Kumar Vivek Ranjan, V. Laxmi\",\"doi\":\"10.1109/ICSCDS53736.2022.9760778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The TRMS is a prototype helicopter. The reason to study the TRMS theory and creating a controller to manage TRMS reaction is to develop a platform for helicopter flight control. This research linearized and described the nonlinear model in state space form. To control activity, a MIMO Twin Rotor system was designed with a Linear Quadratic Gaussian (LQG) compensator. In order to construct a controller, a 2-DOF dynamic model was used to study pitch and yaw motion. The two-stage layout method begins with the creation of an optimal LQR and ends with the creation of a Kalman filter observer. To achieve the required response, the LQR parameters Q and R are changed at arbitrary. Later, the BFO approach was applied to improve the LQG compensator's Q and R parameters. Simulations indicate that the proposed controller can meet the requirements.\",\"PeriodicalId\":433549,\"journal\":{\"name\":\"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)\",\"volume\":\"153 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCDS53736.2022.9760778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDS53736.2022.9760778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of an Optimal Controller for a Twin Rotor Mimo System (TRMS)
The TRMS is a prototype helicopter. The reason to study the TRMS theory and creating a controller to manage TRMS reaction is to develop a platform for helicopter flight control. This research linearized and described the nonlinear model in state space form. To control activity, a MIMO Twin Rotor system was designed with a Linear Quadratic Gaussian (LQG) compensator. In order to construct a controller, a 2-DOF dynamic model was used to study pitch and yaw motion. The two-stage layout method begins with the creation of an optimal LQR and ends with the creation of a Kalman filter observer. To achieve the required response, the LQR parameters Q and R are changed at arbitrary. Later, the BFO approach was applied to improve the LQG compensator's Q and R parameters. Simulations indicate that the proposed controller can meet the requirements.