Learning control for accuracy enhancement of parallel kinematic machines

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • H. Abdellatif
  • Bodo Heimann

Research Organisations

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Details

Original languageEnglish
Title of host publication Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33
Place of PublicationZwickau
Pages443-456
Publication statusPublished - 2006

Abstract

The aim of this research is to qualify parallel robots for high-precision dynamic tasks using appropriate control strategies. Therefore, the prototype was designed for a convenient weight-to-load-ratio and is equipped with electromagnetic linear direct drives. It has been found that despite the feedforward compensation of nonlinear dynamics and the accurate identification of its parameters, some tracking errors remain. This is due to non-modeled effects and primarily permanent magnetic and electromagnetic actuator disturbances. To further increase the control quality ILC (iterative learning control) was applied to the parallel highly coupled mechanism. In addition, it was questionable that direct drives allow simple formal decoupling of the complex MIMO-system into multiple SISO-systems. Direct drives could be demonstrated to be acceptable only in case of conventional industrial robots or mechanisms, where high gear ratios are used. A phase-lead compensated approach which can be easily parameterized by experimental investigation of the system's frequency response was chosen. Improvement of the tracking performance was demonstrated in time- and frequency-domains as well as in the actuation and in the operational space. Independently of the actuator or the motion, ILC keeps a good performance after the low number of 15 iterations, which is good argument for its practicability. For repetitive operations, it is possible to keep the ILC as a task in the background that calculates corrections for the input of every following operation.

Cite this

Learning control for accuracy enhancement of parallel kinematic machines. / Abdellatif, H.; Heimann, Bodo.
Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33 . Zwickau, 2006. p. 443-456.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Abdellatif, H & Heimann, B 2006, Learning control for accuracy enhancement of parallel kinematic machines. in Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33 . Zwickau, pp. 443-456.
Abdellatif, H., & Heimann, B. (2006). Learning control for accuracy enhancement of parallel kinematic machines. In Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33 (pp. 443-456).
Abdellatif H, Heimann B. Learning control for accuracy enhancement of parallel kinematic machines. In Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33 . Zwickau. 2006. p. 443-456
Abdellatif, H. ; Heimann, Bodo. / Learning control for accuracy enhancement of parallel kinematic machines. Parallel Kinematic Machines in Research and Practice, PKS, Chemnitz Parallel Kinematics Seminar, 5 ; 443-456 Berichte aus dem IWU, Reports from the IWU ; 33 . Zwickau, 2006. pp. 443-456
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