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  • 标题:New Method for Tuning Robust Controllers Applied to Robot Manipulators
  • 作者:Gerardo Romero ; Efraín Alcorta ; David Lara
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2012
  • 卷号:9
  • 期号:5
  • 页码:210
  • DOI:10.5772/53734
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This paper presents a methodology to select the parameters of a nonlinear controller using Linear Matrix Inequalities (LMI). The controller is applied to a robotic manipulator to improve its robustness. This type of dynamic system enables the robust control law to be applied because it largely depends on the mathematical model of the system; however, in most cases it is impossible to be completely precise. The discrepancy between the dynamic behaviour of the robot and its mathematical model is taken into account by including a nonlinear term that represents the model's uncertainty. The controller's parameters are selected with two purposes: to guarantee the asymptotic stability of the closed-loop system while taking into account the uncertainty, and to increase its robustness margin. The results are validated with numerical simulations for a particular case study; these are then compared with previously published results to prove a better controller performance.
  • 关键词:Robust control; Robustness margin; Linear Matrix Inequalities (LMI); Robot manipulators
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