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  • 标题:Model-Independent Observer-Based Current Sensorless Speed Servo Systems with Adaptive Feedback Gain
  • 本地全文:下载
  • 作者:Sun Lim ; Seok-Kyoon Kim ; Ki-Chan Kim
  • 期刊名称:Actuators
  • 电子版ISSN:2076-0825
  • 出版年度:2022
  • 卷号:11
  • 期号:5
  • 页码:126
  • DOI:10.3390/act11050126
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:This study proposes a solution to the speed control problem of servo machines in the form of multi-loop current sensorless control with a reduction in the system model dependence level and the number of feedback loops, which provides the two contributions: first, a model-independent observer estimates speed and acceleration using only the position measurement, thereby ensuring the first-order estimation error dynamics; second, the active damping acceleration stabilizes the inner loop with the adaptive feedback gain increasing and decreasing automatically according to the transient and steady-state operation modes. The experimental study highlighted the effectiveness of the acceleration loop adaptation technique, which used an actual servo system comprising the QUBE-servo2 and myRIO-1900.
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