### Abstract

Original language | English |
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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 |
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Country | Denmark |

City | Aalborg |

Period | 07/09/2017 → 08/09/2017 |

### Fingerprint

### Keywords

- Fluid Power
- Digital Displacement
- Model Predictive Control

### Cite this

*Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017*Department of Energy Technology, Aalborg University.

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*Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017.*Department of Energy Technology, Aalborg University, 9th Workshop on Digital Fluid Power, DFP 2017, Aalborg, Denmark, 07/09/2017.

**Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control.** / Hansen, Anders Hedegaard; Asmussen, Magnus Færing; Bech, Michael Møller.

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 -