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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hakvoort, W.B.J. Aarts, R.G.K.M. van Dijk, J. Jonker, J.B. |
| Copyright Year | 2007 |
| Description | Author affiliation: Netherlands Inst. for Metals Res., Delft (Hakvoort, W.B.J.) |
| Abstract | In this paper model-based iterative learning control (ILC) is applied to improve the tracking accuracy of an industrial robot with elasticity. The ILC algorithm iteratively updates the reference trajectory for the robot such that the predicted tracking error in the next iteration is minimised. The tracking error is predicted by a model of the closed-loop dynamics of the robot. The model includes the servo resonance frequency, the first resonance frequency caused by elasticity in the mechanism and the variation of both frequencies along the trajectory. Experimental results show that the tracking error of the robot can be reduced, even at frequencies beyond the first elastic resonance frequency. |
| Starting Page | 4185 |
| Ending Page | 4190 |
| File Size | 316549 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424414970 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2007.4434366 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Industrial control Service robots Elasticity Resonance Resonant frequency Iterative algorithms Trajectory Error correction Predictive models Servomechanisms |
| Content Type | Text |
| Resource Type | Article |
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