{"title":"单作动器故障下基于MPC的全向移动机器人导航","authors":"Dinsha Vinod, P. S. Saikrishna","doi":"10.18178/ijmerr.11.6.399-404","DOIUrl":null,"url":null,"abstract":"— This paper presents the modeling and Model Predictive Controller (MPC) design for an omni-directional robot during a single actuator failure. A fault estimation method is used to identify the actuator failure, and thereby, the kinematic model of the mobile robot is reformulated to account for the fault. The controllability of the modified model during a single actuator failure is verified using Lie algebra. Finally, in the event of unforeseen combinations of single actuator failures, a Nonlinear MPC is designed for trajectory tracking and obstacle avoidance. Simulation results are used to demonstrate the robustness of the system to actuator failure.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MPC Based Navigation of an Omni-directional Mobile Robot under Single Actuator Failure\",\"authors\":\"Dinsha Vinod, P. S. Saikrishna\",\"doi\":\"10.18178/ijmerr.11.6.399-404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"— This paper presents the modeling and Model Predictive Controller (MPC) design for an omni-directional robot during a single actuator failure. A fault estimation method is used to identify the actuator failure, and thereby, the kinematic model of the mobile robot is reformulated to account for the fault. The controllability of the modified model during a single actuator failure is verified using Lie algebra. Finally, in the event of unforeseen combinations of single actuator failures, a Nonlinear MPC is designed for trajectory tracking and obstacle avoidance. Simulation results are used to demonstrate the robustness of the system to actuator failure.\",\"PeriodicalId\":37784,\"journal\":{\"name\":\"International Journal of Mechanical Engineering and Robotics Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical Engineering and Robotics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/ijmerr.11.6.399-404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Engineering and Robotics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/ijmerr.11.6.399-404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
MPC Based Navigation of an Omni-directional Mobile Robot under Single Actuator Failure
— This paper presents the modeling and Model Predictive Controller (MPC) design for an omni-directional robot during a single actuator failure. A fault estimation method is used to identify the actuator failure, and thereby, the kinematic model of the mobile robot is reformulated to account for the fault. The controllability of the modified model during a single actuator failure is verified using Lie algebra. Finally, in the event of unforeseen combinations of single actuator failures, a Nonlinear MPC is designed for trajectory tracking and obstacle avoidance. Simulation results are used to demonstrate the robustness of the system to actuator failure.
期刊介绍:
International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.