{"title":"惯性轮摆在自平衡电动摩托车上的应用研究","authors":"Quang Khanh Ho, C. Pham","doi":"10.1109/GTSD.2018.8595698","DOIUrl":null,"url":null,"abstract":"Abstract - Self-balancing electric motorcycles have been recently developed by high-tech corporations to reaffirm their vision of “enjoying the freedom of mobility”, i.e. riders will not have to put their feet on the ground when they stop. A stabilization system based on Inertia Wheel Pendulum (IWP) is a potential approach to this new concept motorcycle. The paper focuses on exploring effects of design parameters on dynamic performance of IWP. A prototype of IWP is implemented. The understanding of IWP is validated through simulation results as well as experimental results. The findings have shown that the prototype has been capable of self-balancing under a PID control algorithm.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"2479 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Study on Inertia Wheel Pendulum Applied to Self-Balancing Electric Motorcycle\",\"authors\":\"Quang Khanh Ho, C. Pham\",\"doi\":\"10.1109/GTSD.2018.8595698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract - Self-balancing electric motorcycles have been recently developed by high-tech corporations to reaffirm their vision of “enjoying the freedom of mobility”, i.e. riders will not have to put their feet on the ground when they stop. A stabilization system based on Inertia Wheel Pendulum (IWP) is a potential approach to this new concept motorcycle. The paper focuses on exploring effects of design parameters on dynamic performance of IWP. A prototype of IWP is implemented. The understanding of IWP is validated through simulation results as well as experimental results. The findings have shown that the prototype has been capable of self-balancing under a PID control algorithm.\",\"PeriodicalId\":344653,\"journal\":{\"name\":\"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)\",\"volume\":\"2479 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GTSD.2018.8595698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GTSD.2018.8595698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Inertia Wheel Pendulum Applied to Self-Balancing Electric Motorcycle
Abstract - Self-balancing electric motorcycles have been recently developed by high-tech corporations to reaffirm their vision of “enjoying the freedom of mobility”, i.e. riders will not have to put their feet on the ground when they stop. A stabilization system based on Inertia Wheel Pendulum (IWP) is a potential approach to this new concept motorcycle. The paper focuses on exploring effects of design parameters on dynamic performance of IWP. A prototype of IWP is implemented. The understanding of IWP is validated through simulation results as well as experimental results. The findings have shown that the prototype has been capable of self-balancing under a PID control algorithm.