High-accuracy trajectory tracking of industrial robot manipulator using adaptive-learning scheme

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

21 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1935-1939
Journal / PublicationProceedings of the American Control Conference
Volume3
Publication statusPublished - 1999
Externally publishedYes

Conference

Title1999 American Control Conference (99ACC)
PlaceUnited States
CitySan Diego, CA.
Period2 - 4 June 1999

Abstract

More and more industrial robot operations demand high-accuracy trajectory performance which may not be achievable using conventional PID control. This paper describes a new adaptive control method with a learning ability in the repetitive tasks, called the Adaptive-Learning (A-L) scheme. The method is based on the proposed theory of two operational modes: the single operational mode and the repetitive operational mode. In the single operational mode, the control is an adaptive control with a new parameter adaptation law using information from the previous trials. In the repetitive operational mode, the control is a model-based iterative learning control. The advantage of the A-L scheme lies in the ability to guarantee convergence in both modes. Theoretical analysis and experimental evaluation on a commercial robot demonstrate the effectiveness of the A-L scheme in controlling an industrial robot manipulator.