Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control

Anders Hedegaard Hansen; Magnus Færing Asmussen; Michael Møller Bech

Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control

Anders Hedegaard Hansen, Magnus Færing Asmussen, Michael Møller Bech

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning

Abstrakt

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.

Originalsprog	Engelsk
Titel	Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017
Antal sider	13
Forlag	Department of Energy Technology, Aalborg University
Publikationsdato	sep. 2017
Status	Udgivet - sep. 2017
Begivenhed	9th Workshop on Digital Fluid Power, DFP 2017 - Aalborg, Danmark Varighed: 7 sep. 2017 → 8 sep. 2017

Konference

Konference	9th Workshop on Digital Fluid Power, DFP 2017
Land	Danmark
By	Aalborg
Periode	07/09/2017 → 08/09/2017

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Citationsformater

@inproceedings{50a144950dfe4120abce3a04837a5a40,

title = "Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control",

abstract = "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.",

keywords = "Fluid Power, Digital Displacement, Model Predictive Control",

author = "Hansen, {Anders Hedegaard} and Asmussen, {Magnus F{\ae}ring} and Bech, {Michael M{\o}ller}",

year = "2017",

month = sep,

language = "English",

booktitle = "Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017",

publisher = "Department of Energy Technology, Aalborg University",

note = "9th Workshop on Digital Fluid Power, DFP 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

}

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.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning

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

T2 - 9th Workshop on Digital Fluid Power, DFP 2017

Y2 - 7 September 2017 through 8 September 2017

ER -