{"title":"基于力信息的机器人控制系统应用研究","authors":"Xiujun Wang, Y. Ge, B. Xiao, Yong Yu","doi":"10.1109/ICIA.2004.1373419","DOIUrl":null,"url":null,"abstract":"Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application study of robotic control system based on force information\",\"authors\":\"Xiujun Wang, Y. Ge, B. Xiao, Yong Yu\",\"doi\":\"10.1109/ICIA.2004.1373419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.\",\"PeriodicalId\":297178,\"journal\":{\"name\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2004.1373419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application study of robotic control system based on force information
Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.
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