2022
DOI: 10.1049/pel2.12320
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Robust decoupled synchronization control of dual‐motor servo systems by mechanical parameter identification

Abstract: In the dual‐motor servo system driven by permanent magnet linear synchronous motor, a synchronous control strategy based on coupling parameter identification algorithm and feedback linearization decoupling controller is proposed to overcome the influence of mechanical coupling on the synchronous control performance of the system. Firstly, the mathematical model of synchronous motion system with mechanical coupling dynamics is established. Secondly, a novel coupling parameter identification structure based on d… Show more

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Cited by 2 publications
(1 citation statement)
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“…By monitoring and controlling the synchronization error between adjacent joints, the motion of each joint can be adjusted in a timely manner in order to maintain a consistent motion trajectory and attitude. This method can effectively improve the synchronization performance of the robotic arm system and reduce the accumulation of errors caused by the series structure [7]. In addition, in order to evaluate the motion accuracy and synchronization of the robotic arm system more comprehensively, the coupling error can be defined by combining the tracking error and synchronization error.…”
Section: Mechanical Arm Synchronization Control Errormentioning
confidence: 99%
“…By monitoring and controlling the synchronization error between adjacent joints, the motion of each joint can be adjusted in a timely manner in order to maintain a consistent motion trajectory and attitude. This method can effectively improve the synchronization performance of the robotic arm system and reduce the accumulation of errors caused by the series structure [7]. In addition, in order to evaluate the motion accuracy and synchronization of the robotic arm system more comprehensively, the coupling error can be defined by combining the tracking error and synchronization error.…”
Section: Mechanical Arm Synchronization Control Errormentioning
confidence: 99%