{"title":"基于模糊pd控制的两轮自平衡机器人控制系统设计","authors":"Song Xin, Min Gong, Yangquan Sun, Zhongqiu Zhang","doi":"10.1109/ICICIP.2014.7010333","DOIUrl":null,"url":null,"abstract":"For nonlinear and natural unstable two-wheel self-balanced robot, a compound control algorithm based on Fuzzy-PD is proposed. Firstly, the mathematical model is established based on Newton-Euler's theory from the structure of two-wheel self-balanced robot. Secondly, the Fuzzy-PD controller is designed to solve the problem that traditional controllers cannot reach the expected result rapidly and steady in a large range of angle, and decrease the operation time caused by \"rule explosion\" when using multi-dimension fuzzy controllers in a physical system. Finally, simulation study and physical test are performed to verify the effectiveness of the Fuzzy-PD controller.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Control system design for two-wheel self-balanced robot based on Fuzzy-PD control\",\"authors\":\"Song Xin, Min Gong, Yangquan Sun, Zhongqiu Zhang\",\"doi\":\"10.1109/ICICIP.2014.7010333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For nonlinear and natural unstable two-wheel self-balanced robot, a compound control algorithm based on Fuzzy-PD is proposed. Firstly, the mathematical model is established based on Newton-Euler's theory from the structure of two-wheel self-balanced robot. Secondly, the Fuzzy-PD controller is designed to solve the problem that traditional controllers cannot reach the expected result rapidly and steady in a large range of angle, and decrease the operation time caused by \\\"rule explosion\\\" when using multi-dimension fuzzy controllers in a physical system. Finally, simulation study and physical test are performed to verify the effectiveness of the Fuzzy-PD controller.\",\"PeriodicalId\":408041,\"journal\":{\"name\":\"Fifth International Conference on Intelligent Control and Information Processing\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth International Conference on Intelligent Control and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2014.7010333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2014.7010333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control system design for two-wheel self-balanced robot based on Fuzzy-PD control
For nonlinear and natural unstable two-wheel self-balanced robot, a compound control algorithm based on Fuzzy-PD is proposed. Firstly, the mathematical model is established based on Newton-Euler's theory from the structure of two-wheel self-balanced robot. Secondly, the Fuzzy-PD controller is designed to solve the problem that traditional controllers cannot reach the expected result rapidly and steady in a large range of angle, and decrease the operation time caused by "rule explosion" when using multi-dimension fuzzy controllers in a physical system. Finally, simulation study and physical test are performed to verify the effectiveness of the Fuzzy-PD controller.