<p>The dynamics parameter identification of parallel robot is difficult and its identification accuracy is limited. Even under the action of advanced intelligent control methods, the problems of low pose accuracy and operation efficiency, poor stability still exist. Taking the Delta parallel robot as the research object, this paper establishes the electromechanical coupling multi-energy domain dynamics model based on the parallel recursive dynamic modeling method, and carries out the detailed study on the dynamics parameter identification of delta robot. To improve the pose accuracy, operation efficiency and stability, based on the electromechanical coupling multi-energy domain dynamics model and dynamics parameter identification of delta robot, the identified dynamics parameters are applied to the control strategy, and the intelligent linear matrix inequalities (ILMI) control algorithm is designed. Finally, the detailed experimental analysis is carried out through the comparative experiments, the effectiveness of the dynamics parameter identification based on electromechanical coupling multi-energy domain dynamics model and the practicability of ILMI control algorithm are verified.</p>

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Research on dynamics parameter identification and intelligent control for delta parallel robot

  • Kunming Zheng,
  • Shuisheng Zeng

摘要

The dynamics parameter identification of parallel robot is difficult and its identification accuracy is limited. Even under the action of advanced intelligent control methods, the problems of low pose accuracy and operation efficiency, poor stability still exist. Taking the Delta parallel robot as the research object, this paper establishes the electromechanical coupling multi-energy domain dynamics model based on the parallel recursive dynamic modeling method, and carries out the detailed study on the dynamics parameter identification of delta robot. To improve the pose accuracy, operation efficiency and stability, based on the electromechanical coupling multi-energy domain dynamics model and dynamics parameter identification of delta robot, the identified dynamics parameters are applied to the control strategy, and the intelligent linear matrix inequalities (ILMI) control algorithm is designed. Finally, the detailed experimental analysis is carried out through the comparative experiments, the effectiveness of the dynamics parameter identification based on electromechanical coupling multi-energy domain dynamics model and the practicability of ILMI control algorithm are verified.