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  • 标题:Radial basis function neural network control for parallel spatial robot
  • 本地全文:下载
  • 作者:Nguyen Hong Quang ; Nguyen Van Quyen ; Nguyen Nhu Hien
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2020
  • 卷号:18
  • 期号:6
  • 页码:3191-3201
  • DOI:10.12928/telkomnika.v18i6.14913
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:The derivation of motion equations of constrained spatial multibody system is an important problem of dynamics and control of parallel robots. The paper firstly presents an overview of the calculating the torque of the driving stages of the parallel robots using Kronecker product. The main content of this paper is to derive the inverse dynamics controllers based on the radial basis function (RBF) neural network control law for parallel robot manipulators. Finally, numerical simulation of the inverse dynamics controller for a 3-RRR delta robot manipulator is presented as an illustrative example.
  • 关键词:inverse dynamics controller; kronecker product; numerical simulation; parallel robot manipulator; RBF neural network control;
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