Van-Dong-Hai Nguyen, Minh-Phuoc Cu, Tran-Minh-Nguyet Nguyen, Thanh-Do Huynh, Dinh-Khoi Dang, Tan-Dat Hoang, Minh-Quan Nguyen, Dinh-Dung Vu, Chi-Hai-Duong Le, Nguyen-Bao-Long Phan, Quoc-Duy Bui, Ngoc-Hai Le, Duy-Phuc Vo
{"title":"用于平衡球机器人的 PID-LQR 组合线性控制器:仿真与实验","authors":"Van-Dong-Hai Nguyen, Minh-Phuoc Cu, Tran-Minh-Nguyet Nguyen, Thanh-Do Huynh, Dinh-Khoi Dang, Tan-Dat Hoang, Minh-Quan Nguyen, Dinh-Dung Vu, Chi-Hai-Duong Le, Nguyen-Bao-Long Phan, Quoc-Duy Bui, Ngoc-Hai Le, Duy-Phuc Vo","doi":"10.59247/jfsc.v1i3.153","DOIUrl":null,"url":null,"abstract":"Ballbot is a robotic structure in which the robot self-balances on a ball by rotating wheels. This robot is a popular form of service robot. Developing controllers for this system provides academic tools for reality. In this paper, after presenting the dynamic equations of the ballbot, we design a Proportional Integrated Derivative (PID)-Linear Quadratic Regulator (LQR) combined (PID-LQR) controller to balance the robot on the ball. The simulation results show the success of this method. An experimental model of a ballbot is presented. In the experiment, PID-LQR combined controller also shows its ability to self-balancing for the ballbot. With this finding, a method of controlling this model is a reference for developing this service robot.","PeriodicalId":484588,"journal":{"name":"Journal of Fuzzy Systems and Control","volume":"2 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PID-LQR Combined Linear Controller for Balancing Ballbot: Simulation and Experiment\",\"authors\":\"Van-Dong-Hai Nguyen, Minh-Phuoc Cu, Tran-Minh-Nguyet Nguyen, Thanh-Do Huynh, Dinh-Khoi Dang, Tan-Dat Hoang, Minh-Quan Nguyen, Dinh-Dung Vu, Chi-Hai-Duong Le, Nguyen-Bao-Long Phan, Quoc-Duy Bui, Ngoc-Hai Le, Duy-Phuc Vo\",\"doi\":\"10.59247/jfsc.v1i3.153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ballbot is a robotic structure in which the robot self-balances on a ball by rotating wheels. This robot is a popular form of service robot. Developing controllers for this system provides academic tools for reality. In this paper, after presenting the dynamic equations of the ballbot, we design a Proportional Integrated Derivative (PID)-Linear Quadratic Regulator (LQR) combined (PID-LQR) controller to balance the robot on the ball. The simulation results show the success of this method. An experimental model of a ballbot is presented. In the experiment, PID-LQR combined controller also shows its ability to self-balancing for the ballbot. With this finding, a method of controlling this model is a reference for developing this service robot.\",\"PeriodicalId\":484588,\"journal\":{\"name\":\"Journal of Fuzzy Systems and Control\",\"volume\":\"2 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Fuzzy Systems and Control\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.59247/jfsc.v1i3.153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Fuzzy Systems and Control","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.59247/jfsc.v1i3.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PID-LQR Combined Linear Controller for Balancing Ballbot: Simulation and Experiment
Ballbot is a robotic structure in which the robot self-balances on a ball by rotating wheels. This robot is a popular form of service robot. Developing controllers for this system provides academic tools for reality. In this paper, after presenting the dynamic equations of the ballbot, we design a Proportional Integrated Derivative (PID)-Linear Quadratic Regulator (LQR) combined (PID-LQR) controller to balance the robot on the ball. The simulation results show the success of this method. An experimental model of a ballbot is presented. In the experiment, PID-LQR combined controller also shows its ability to self-balancing for the ballbot. With this finding, a method of controlling this model is a reference for developing this service robot.