{"title":"并联电磁变刚度机器人柔顺磨削机械手的设计与控制","authors":"Xu Tang, Jixiang Yang, Han Ding","doi":"10.1016/j.rcim.2025.103158","DOIUrl":null,"url":null,"abstract":"Environmental adaptability is a key challenge in robotic operation, while the limited compliance of parallel manipulators hinders their application in variable-stiffness environments. This paper proposes a novel three-degree-of-freedom parallel electromagnetic variable stiffness manipulator (PEVSM) that actively adapts to the environment through self-stiffness modulation. PEVSM integrates an unconstrained variable stiffness limb driven by an electromagnetic spring and three compliant limbs actuated by Lorentz motors, enabling active and continuous stiffness modulation. Based on the established kinematic and stiffness models, a hybrid force-position-stiffness control framework is developed, integrating enhanced fractional-order adaptive impedance control and a stiffness controller based on deep deterministic policy gradient with multi-source feedback to achieve precise and compliant force regulation. For applying robotic grinding to low-stiffness workpieces, a force–deformation model and a force compensation strategy are introduced to mitigate deformation effects and improve material removal accuracy. The robotic grinding platform with PEVSM is constructed, demonstrating its advantages on improve force control and material removal accuracy in compliant grinding.","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":"5 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and control of a parallel electromagnetic variable stiffness manipulator for robotic compliant grinding\",\"authors\":\"Xu Tang, Jixiang Yang, Han Ding\",\"doi\":\"10.1016/j.rcim.2025.103158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Environmental adaptability is a key challenge in robotic operation, while the limited compliance of parallel manipulators hinders their application in variable-stiffness environments. This paper proposes a novel three-degree-of-freedom parallel electromagnetic variable stiffness manipulator (PEVSM) that actively adapts to the environment through self-stiffness modulation. PEVSM integrates an unconstrained variable stiffness limb driven by an electromagnetic spring and three compliant limbs actuated by Lorentz motors, enabling active and continuous stiffness modulation. Based on the established kinematic and stiffness models, a hybrid force-position-stiffness control framework is developed, integrating enhanced fractional-order adaptive impedance control and a stiffness controller based on deep deterministic policy gradient with multi-source feedback to achieve precise and compliant force regulation. For applying robotic grinding to low-stiffness workpieces, a force–deformation model and a force compensation strategy are introduced to mitigate deformation effects and improve material removal accuracy. The robotic grinding platform with PEVSM is constructed, demonstrating its advantages on improve force control and material removal accuracy in compliant grinding.\",\"PeriodicalId\":21452,\"journal\":{\"name\":\"Robotics and Computer-integrated Manufacturing\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Computer-integrated Manufacturing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1016/j.rcim.2025.103158\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1016/j.rcim.2025.103158","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Design and control of a parallel electromagnetic variable stiffness manipulator for robotic compliant grinding
Environmental adaptability is a key challenge in robotic operation, while the limited compliance of parallel manipulators hinders their application in variable-stiffness environments. This paper proposes a novel three-degree-of-freedom parallel electromagnetic variable stiffness manipulator (PEVSM) that actively adapts to the environment through self-stiffness modulation. PEVSM integrates an unconstrained variable stiffness limb driven by an electromagnetic spring and three compliant limbs actuated by Lorentz motors, enabling active and continuous stiffness modulation. Based on the established kinematic and stiffness models, a hybrid force-position-stiffness control framework is developed, integrating enhanced fractional-order adaptive impedance control and a stiffness controller based on deep deterministic policy gradient with multi-source feedback to achieve precise and compliant force regulation. For applying robotic grinding to low-stiffness workpieces, a force–deformation model and a force compensation strategy are introduced to mitigate deformation effects and improve material removal accuracy. The robotic grinding platform with PEVSM is constructed, demonstrating its advantages on improve force control and material removal accuracy in compliant grinding.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.