Details
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Industrial Technology (ICIT) |
| Pages | 351-356 |
| Number of pages | 6 |
| Publication status | Published - Mar 2015 |
Abstract
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Electrical and Electronic Engineering
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2015 IEEE International Conference on Industrial Technology (ICIT). 2015. p. 351-356.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - New approach using flatness-based control in high speed positioning: Experimental results
AU - Beckmann, Daniel
AU - Schappler, Moritz
AU - Dagen, Matthias
AU - Ortmaier, Tobias
N1 - Publisher Copyright: © 2015 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/3
Y1 - 2015/3
N2 - This paper discusses flatness-based control approaches to reduce oscillations on the load side of mechanical motion systems. Choosing a suitable trajectory is one essential step in implementing a flatness-based control. Existing approaches use slow polynomials or mathematically complex Gevrey-functions to achieve the necessary differentiability. Our approach combines the oscillation reduction of flatness-based control and the dynamic and simplicity of higher order Scurve trajectories generated by a convolution based algorithm. The performance and robustness of the presented methods is experimentally validated with a linear flexible motion system.
AB - This paper discusses flatness-based control approaches to reduce oscillations on the load side of mechanical motion systems. Choosing a suitable trajectory is one essential step in implementing a flatness-based control. Existing approaches use slow polynomials or mathematically complex Gevrey-functions to achieve the necessary differentiability. Our approach combines the oscillation reduction of flatness-based control and the dynamic and simplicity of higher order Scurve trajectories generated by a convolution based algorithm. The performance and robustness of the presented methods is experimentally validated with a linear flexible motion system.
UR - http://www.scopus.com/inward/record.url?scp=84937699884&partnerID=8YFLogxK
U2 - 10.1109/icit.2015.7125123
DO - 10.1109/icit.2015.7125123
M3 - Conference contribution
SP - 351
EP - 356
BT - 2015 IEEE International Conference on Industrial Technology (ICIT)
ER -