Trajectory optimization of high speed parallel robot based on improved gravity search algorithm
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Objective: To solve the problems of large rigid impact and poor motion stability of parallel robot in the process of picking and placing canned food. Methods: Based on the architecture of high-speed parallel robot, a trajectory planning method was proposed for trajectory optimization of end effector of high-speed parallel robot. A multi constraint, multi-objective and nonlinear trajectory optimization model was established and solved by an improved gravity search algorithm. The feasibility of the proposed method was verified by simulation. Results: Compared with the planned method, the proposed method can complete the task in the shortest time of 0.169 1 s. Conclusion: The planning method solves the problems of large rigid impact and poor motion stability in the picking and placing process of traditional parallel robot, and has certain practical value.

    Reference
    Related
    Cited by
Get Citation

徐岩.基于改进引力搜索算法的高速并联机器人轨迹优化[J].食品与机械英文版,2022,(5):82-86.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: June 30,2022
  • Published:
Article QR Code