4.6 Article

Drift Suppression Control Based on Online Intelligent Optimization for Planar Underactuated Manipulator With Passive Middle Joint

期刊

IEEE ACCESS
卷 9, 期 -, 页码 38611-38619

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3064336

关键词

Trajectory; Manipulator dynamics; Position control; Vehicle dynamics; Mechanical systems; Optimization; Mathematical model; Drift suppression control; intelligent optimization; planar underactuated manipulator; position control

资金

  1. Nature Science Foundation of Hubei Province of China [2019CFB172]
  2. Science Foundation Research Project of Wuhan Institute of Technology of China [K202035]
  3. Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology of China [HBIRL 202006]

向作者/读者索取更多资源

This study proposes a drift suppression control method for the position control problem of a planar 3R manipulator, including steps such as dynamic modeling, parametric trajectory planning, and controller design. Numerical simulation results demonstrate the effectiveness of the proposed method.
We consider the position control problem of the planar 3R manipulator with the middle passive joint, whose dynamic constraint is caused by the second-order non-holonomic characteristic. A drift suppression control method with two stages is proposed for positioning the system. First, we give the dynamic model and the target angle of the system solution algorithm. Then, the controllers are designed to make the active links reach to their desired states, and the second link is rotating freely caused by the drift. So, the parametric trajectory is planned to suppress the drift of the second link and tracking this trajectory can makes all links reach to their desired states. Next, we use the differential evolution algorithm to search for the suitable parameters of the parametric trajectory taking the coupling constraints among all links. Then the controllers are designed to track the planned trajectories, so that all links can be controlled to the desired states simultaneously. Finally, numerical simulation results illuminate the effectiveness of the proposed method.

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