Abstract
From a mechatronic point of view, the performance of electromechanical motion systems can be improved by changing both the mechanical design and the controller. The design of a controller is generally based on a model of the plant. Thus, to improve the controller, a more accurate model of the plant is required. When the structure is not known or when many parameters cannot be determined, learning control may be considered. A simple yet powerful learning control scheme that is suitable for electro-mechanical motion systems is Learning Feed-Forward Control. In this paper an overview is given of applications that have been reported concerning this scheme. Also, relations are listed with alternative learning control schemes that are in some sense alike.
Original language | English |
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Title of host publication | Mechatronic systems |
Subtitle of host publication | 1st IFAC Conference, Darmstadt, Germany, September 18-20, 2000 |
Editors | Rolf Isermann |
Place of Publication | Düsseldorf |
Publisher | VDI/VDE |
Pages | 949-954 |
Publication status | Published - 18 Sept 2000 |
Event | 1st IFAC Conference on Mechatronic Systems 2000 - Darmstadt, Germany Duration: 18 Sept 2000 → 20 Sept 2000 Conference number: 1 |
Conference
Conference | 1st IFAC Conference on Mechatronic Systems 2000 |
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Country/Territory | Germany |
City | Darmstadt |
Period | 18/09/00 → 20/09/00 |
Keywords
- Learning control
- Neural networks
- Intelligent control
- Feedback error learning
- Learning feed-forward control
- Iterative learning control
- Motion control