{"title":"四轴飞行器空中机械臂载荷的自适应模糊滑模控制","authors":"J. Eneh, S. Nwafor, E. C. Nnadozie, O. Ani","doi":"10.1109/ITED56637.2022.10051598","DOIUrl":null,"url":null,"abstract":"An aerial manipulator is a highly coupled and unstable complicated system. The movement of the robot manipulator will influence the stability of the quadcopter. This paper presents adaptive fuzzy sliding mode control (AFSMC) to improve the stability of the aerial manipulator. The proposed control strategy employs fuzzy compensation with regards to friction to improve tracking performance with fuzzy set rules. Simulation results indicate that the proposed AFSMC has minimum tracking error compared to sliding mode control (SMC) and PID controllers.","PeriodicalId":246041,"journal":{"name":"2022 5th Information Technology for Education and Development (ITED)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Fuzzy Sliding Mode Control for an Aerial Manipulator as a Payload on a Quadcopter\",\"authors\":\"J. Eneh, S. Nwafor, E. C. Nnadozie, O. Ani\",\"doi\":\"10.1109/ITED56637.2022.10051598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An aerial manipulator is a highly coupled and unstable complicated system. The movement of the robot manipulator will influence the stability of the quadcopter. This paper presents adaptive fuzzy sliding mode control (AFSMC) to improve the stability of the aerial manipulator. The proposed control strategy employs fuzzy compensation with regards to friction to improve tracking performance with fuzzy set rules. Simulation results indicate that the proposed AFSMC has minimum tracking error compared to sliding mode control (SMC) and PID controllers.\",\"PeriodicalId\":246041,\"journal\":{\"name\":\"2022 5th Information Technology for Education and Development (ITED)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th Information Technology for Education and Development (ITED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITED56637.2022.10051598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th Information Technology for Education and Development (ITED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITED56637.2022.10051598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Fuzzy Sliding Mode Control for an Aerial Manipulator as a Payload on a Quadcopter
An aerial manipulator is a highly coupled and unstable complicated system. The movement of the robot manipulator will influence the stability of the quadcopter. This paper presents adaptive fuzzy sliding mode control (AFSMC) to improve the stability of the aerial manipulator. The proposed control strategy employs fuzzy compensation with regards to friction to improve tracking performance with fuzzy set rules. Simulation results indicate that the proposed AFSMC has minimum tracking error compared to sliding mode control (SMC) and PID controllers.
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