{"title":"用级联PID策略实现自主自平衡机器人","authors":"E. Philip, Sharath Golluri","doi":"10.1109/ICCAR49639.2020.9108049","DOIUrl":null,"url":null,"abstract":"The hardware implementation of an autonomous self-balancing robot, using the open-source Ardupilot platform is presented here. The cascaded PID strategy is combined with a trajectory tracking controller to achieve autonomous driving. Motion and trajectory control performance is analyzed through simulation and hardware based experiments.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Implementation of an Autonomous Self-Balancing Robot Using Cascaded PID Strategy\",\"authors\":\"E. Philip, Sharath Golluri\",\"doi\":\"10.1109/ICCAR49639.2020.9108049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The hardware implementation of an autonomous self-balancing robot, using the open-source Ardupilot platform is presented here. The cascaded PID strategy is combined with a trajectory tracking controller to achieve autonomous driving. Motion and trajectory control performance is analyzed through simulation and hardware based experiments.\",\"PeriodicalId\":412255,\"journal\":{\"name\":\"2020 6th International Conference on Control, Automation and Robotics (ICCAR)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Conference on Control, Automation and Robotics (ICCAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAR49639.2020.9108049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR49639.2020.9108049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of an Autonomous Self-Balancing Robot Using Cascaded PID Strategy
The hardware implementation of an autonomous self-balancing robot, using the open-source Ardupilot platform is presented here. The cascaded PID strategy is combined with a trajectory tracking controller to achieve autonomous driving. Motion and trajectory control performance is analyzed through simulation and hardware based experiments.