{"title":"基于模型参考自适应控制的不确定参数移动机器人跟踪控制","authors":"T. Manh, M. Xuan, P. Doan, Thang-Phan Quoc","doi":"10.1109/ICCAIS.2013.6720523","DOIUrl":null,"url":null,"abstract":"The paper presents a Model Reference Adaptive Control algorithm for mobile robots with parameter uncertainties and unstructured dynamics to guarantee that a robot can track to desired trajectory asymptotically and avoid jerky. The controller has been designed in two consecutive parts; one is a nonlinear kinematic controller and the other is the model reference adaptive controller using the feedback signal from the mobile robot's actuator. The simulation results show the efficiency and the application ability of the proposed controller.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Tracking control for mobile robots with uncertain parameters based on Model Reference Adaptive Control\",\"authors\":\"T. Manh, M. Xuan, P. Doan, Thang-Phan Quoc\",\"doi\":\"10.1109/ICCAIS.2013.6720523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a Model Reference Adaptive Control algorithm for mobile robots with parameter uncertainties and unstructured dynamics to guarantee that a robot can track to desired trajectory asymptotically and avoid jerky. The controller has been designed in two consecutive parts; one is a nonlinear kinematic controller and the other is the model reference adaptive controller using the feedback signal from the mobile robot's actuator. The simulation results show the efficiency and the application ability of the proposed controller.\",\"PeriodicalId\":347974,\"journal\":{\"name\":\"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS.2013.6720523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2013.6720523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking control for mobile robots with uncertain parameters based on Model Reference Adaptive Control
The paper presents a Model Reference Adaptive Control algorithm for mobile robots with parameter uncertainties and unstructured dynamics to guarantee that a robot can track to desired trajectory asymptotically and avoid jerky. The controller has been designed in two consecutive parts; one is a nonlinear kinematic controller and the other is the model reference adaptive controller using the feedback signal from the mobile robot's actuator. The simulation results show the efficiency and the application ability of the proposed controller.