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

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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.
OriginalsprogEngelsk
TitelProceedings of 9th Workshop on Digital Fluid Power, DFP 2017
Antal sider13
ForlagDepartment of Energy Technology, Aalborg University
Publikationsdatosep. 2017
StatusUdgivet - sep. 2017
Begivenhed9th Workshop on Digital Fluid Power, DFP 2017 - Aalborg, Danmark
Varighed: 7 sep. 20178 sep. 2017

Konference

Konference9th Workshop on Digital Fluid Power, DFP 2017
LandDanmark
ByAalborg
Periode07/09/201708/09/2017

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Citationsformater

Hansen, A. H., Asmussen, M. F., & Bech, M. M. (2017). Energy Optimal Tracking Control with Discrete Fluid Power Systems using Model Predictive Control. I Proceedings of 9th Workshop on Digital Fluid Power, DFP 2017 Department of Energy Technology, Aalborg University.