{"title":"单轮机器人的三维建模与非线性微分算法控制","authors":"D. V. Bui, Y. Fujimoto","doi":"10.1109/AMC.2016.7496409","DOIUrl":null,"url":null,"abstract":"This paper presents a method, Algorithmic Differentiation, that can compute a three dimensional (3D) nonlinear model and design the nonlinear controller, simultaneously. It has not been feasible using the conventional methods because of the complexity of the system. Moreover, the interesting work of the proposed method is noted that the head angle of the mono-wheel robot can be controlled although it lacks a yaw axis actuator. The simulation results of the stability of the system are shown.","PeriodicalId":273847,"journal":{"name":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","volume":"96 44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D modeling and nonlinear control using algorithmic differentiation for mono-wheel robot\",\"authors\":\"D. V. Bui, Y. Fujimoto\",\"doi\":\"10.1109/AMC.2016.7496409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method, Algorithmic Differentiation, that can compute a three dimensional (3D) nonlinear model and design the nonlinear controller, simultaneously. It has not been feasible using the conventional methods because of the complexity of the system. Moreover, the interesting work of the proposed method is noted that the head angle of the mono-wheel robot can be controlled although it lacks a yaw axis actuator. The simulation results of the stability of the system are shown.\",\"PeriodicalId\":273847,\"journal\":{\"name\":\"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)\",\"volume\":\"96 44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMC.2016.7496409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2016.7496409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D modeling and nonlinear control using algorithmic differentiation for mono-wheel robot
This paper presents a method, Algorithmic Differentiation, that can compute a three dimensional (3D) nonlinear model and design the nonlinear controller, simultaneously. It has not been feasible using the conventional methods because of the complexity of the system. Moreover, the interesting work of the proposed method is noted that the head angle of the mono-wheel robot can be controlled although it lacks a yaw axis actuator. The simulation results of the stability of the system are shown.