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  • 标题:Symplectic Discrete-Time Control of Flexible-Joint Robots: Experiments with Two Links ⁎
  • 本地全文:下载
  • 作者:Tobias Thoma ; Xuwei Wu ; Alexander Dietrich
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:19
  • 页码:1-7
  • DOI:10.1016/j.ifacol.2021.11.046
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe present the application and experimental validation of discrete-time control implementation based on symplectic integration - in short referred to as symplectic discrete-time control - to a serial robot manipulator with flexible-joints. Applying the implicit midpoint rule as a simple and popular symplectic integration scheme to both the model of the sampled system and the desired target dynamics, yields a discrete-time control law with the same structure as in continuous time. The arguments are, however, predicted stage values on the subsequent sampling interval resulting from a half implicit Euler step for the target system. The approach can be easily extended to a purely position-based feedback law. The experimental validation on a lightweight robot (KUKA LWR IV+) confirms the expected improvements at low sampling rates, with an increase in the assignable closed-loop stiffness of up to 29 %.
  • 关键词:KeywordsSampled-data systemsdiscrete-time controlsymplectic integrationnonlinear mechanical systemsflexible-joint robotsserial elastic actuatorsKUKA LWR
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