Thi-Thuy Hoang, Hoang-Phi-Khoi Nguyen, T. Nguyen, V. Nguyen, Diep-Thuy-Duong Le, Xuan-Chinh Trinh, Ngoc-Phu Nguyen, P. Nguyen
{"title":"A Method of Fuzzy Algorithm in Controlling Ball and Beam through Simulation and Experiment","authors":"Thi-Thuy Hoang, Hoang-Phi-Khoi Nguyen, T. Nguyen, V. Nguyen, Diep-Thuy-Duong Le, Xuan-Chinh Trinh, Ngoc-Phu Nguyen, P. Nguyen","doi":"10.24193/rm.2021.2.1","DOIUrl":null,"url":null,"abstract":"In this paper, we present a way to create fuzzy controller from LQR method by using ANFIS toolbox of Matlab. First, after proving the ability of stability of this SIMO system under LQR method in Matlab/Simulink, we create a fuzzy controller through ANFIS toolbox of Matlab. The data, which is used to train, is collected from responses of system under LQR controller. Also, we present a hardware platform of ball and beam system. Under this fuzzy controller, control quality of ball and beam is better than under LQR controller in both simulation and experiment.","PeriodicalId":31066,"journal":{"name":"Robotica Management","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotica Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24193/rm.2021.2.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a way to create fuzzy controller from LQR method by using ANFIS toolbox of Matlab. First, after proving the ability of stability of this SIMO system under LQR method in Matlab/Simulink, we create a fuzzy controller through ANFIS toolbox of Matlab. The data, which is used to train, is collected from responses of system under LQR controller. Also, we present a hardware platform of ball and beam system. Under this fuzzy controller, control quality of ball and beam is better than under LQR controller in both simulation and experiment.