{"title":"基于混合自动机的轮式移动机器人建模与控制","authors":"Pu Shi, Yiwen Zhao, Yujie Cui","doi":"10.1109/CCDC.2010.5498578","DOIUrl":null,"url":null,"abstract":"Conventional methods are particularly difficult to control wheeled mobile robot because the control approaches require precise models of the system and the environment. To enhance flexibility of control system of wheeled mobile robots, hybrid system frameworks which consider simultaneously the control and decision-making issues are required. In this paper, we model hybrid system using hybrid automata: through analyzing the control process, discrete state set for wheeled mobile robot positioning is set up; transition conditions among discrete states are defined; kinetic equations corresponding to each discrete state are established. This method is particularly useful in modeling the interactions between discrete and continuous components that exist simultaneously in robotic systems. Simulation results verify the validity of this method.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Modeling and control of wheeled mobile robot based on hybrid automata\",\"authors\":\"Pu Shi, Yiwen Zhao, Yujie Cui\",\"doi\":\"10.1109/CCDC.2010.5498578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional methods are particularly difficult to control wheeled mobile robot because the control approaches require precise models of the system and the environment. To enhance flexibility of control system of wheeled mobile robots, hybrid system frameworks which consider simultaneously the control and decision-making issues are required. In this paper, we model hybrid system using hybrid automata: through analyzing the control process, discrete state set for wheeled mobile robot positioning is set up; transition conditions among discrete states are defined; kinetic equations corresponding to each discrete state are established. This method is particularly useful in modeling the interactions between discrete and continuous components that exist simultaneously in robotic systems. Simulation results verify the validity of this method.\",\"PeriodicalId\":227938,\"journal\":{\"name\":\"2010 Chinese Control and Decision Conference\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2010.5498578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2010.5498578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and control of wheeled mobile robot based on hybrid automata
Conventional methods are particularly difficult to control wheeled mobile robot because the control approaches require precise models of the system and the environment. To enhance flexibility of control system of wheeled mobile robots, hybrid system frameworks which consider simultaneously the control and decision-making issues are required. In this paper, we model hybrid system using hybrid automata: through analyzing the control process, discrete state set for wheeled mobile robot positioning is set up; transition conditions among discrete states are defined; kinetic equations corresponding to each discrete state are established. This method is particularly useful in modeling the interactions between discrete and continuous components that exist simultaneously in robotic systems. Simulation results verify the validity of this method.