Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017 |
| Number of pages | 13 |
| Publisher | Department of Energy Technology, Aalborg University |
| Publication date | Sep 2017 |
| Publication status | Published - Sep 2017 |
| Event | 9th Workshop on Digital Fluid Power, DFP 2017 - Aalborg, Denmark Duration: 7 Sep 2017 → 8 Sep 2017 |
Conference
| Conference | 9th Workshop on Digital Fluid Power, DFP 2017 |
|---|---|
| Country | Denmark |
| City | Aalborg |
| Period | 07/09/2017 → 08/09/2017 |
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Keywords
- Fluid Power
- Digital Displacement
- Model Predictive Control
Cite this
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Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control. / Hansen, Anders Hedegaard; Asmussen, Magnus Færing; Bech, Michael Møller.
Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017. Department of Energy Technology, Aalborg University, 2017.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research
TY - GEN
T1 - Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control
AU - Hansen, Anders Hedegaard
AU - Asmussen, Magnus Færing
AU - Bech, Michael Møller
PY - 2017/9
Y1 - 2017/9
N2 - For Discrete Displacement Cylinder (DDC) drives the control task lies in choosing force level. Hence, which force level to apply and thereby which pressure level each cylinder chambers shall be connected to. The DDC system is inherently a force system why often a force reference is generated by a tracking controller and translated into a discrete force level in a Force Shifting Algorithm (FSA). In the current paper the tracking controller and the FSA are combined in a Model Predictive Control algorithm solving the tracking problem while minimizing the energy use. Two MPC algorithms are investigated and compared to a PID like tracking controller combined with a FSA. The results indicate that the energy efficiency of position tracking DDC systems may be improved significantly by using the MPC algorithm.
AB - For Discrete Displacement Cylinder (DDC) drives the control task lies in choosing force level. Hence, which force level to apply and thereby which pressure level each cylinder chambers shall be connected to. The DDC system is inherently a force system why often a force reference is generated by a tracking controller and translated into a discrete force level in a Force Shifting Algorithm (FSA). In the current paper the tracking controller and the FSA are combined in a Model Predictive Control algorithm solving the tracking problem while minimizing the energy use. Two MPC algorithms are investigated and compared to a PID like tracking controller combined with a FSA. The results indicate that the energy efficiency of position tracking DDC systems may be improved significantly by using the MPC algorithm.
KW - Fluid Power
KW - Digital Displacement
KW - Model Predictive Control
M3 - Article in proceeding
BT - Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017
PB - Department of Energy Technology, Aalborg University
ER -