Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit

Niels Henrik Pedersen, Per Johansen, Torben O. Andersen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

Successful deployment of the digital displacement machine (DDM) as the solution for futurefluid power pump and motor units, demands control strategies and dynamical analysis methods for the technology. For a relatively low speed operated DDM with a relatively low number of cylinders, a partial stroke operation strategy is considered a favorable choice in the attempt of obtaining a smooth response and accurate tracking control. In partial stroke operation, the energy efficiency and severity of flow and pressure spikes are highly dependent on the flow and pressure levels when the on-off valves are opened and closed. A promising control strategy is therefore model predictive control (MPC), enablingthe control objective to be a trade-off between tracking performance and energy efficiency. This paper presents a MPC strategy for a partial stroke operated digital displacement motor, controlling the pressure in a simplified load system. Since the discrete MPC model is based on discrete approximations of the non-smooth machine dynamics, an analysis study is made on the applicability of the approximation. The control strategy is validated by simulation in a non-linear model and tested under different importance weights of set-point tracking relative to energy efficiency.
Original languageEnglish
Title of host publicationProceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018
Number of pages9
PublisherIEEE Press
Publication dateJul 2018
Pages1-9
Article number8472366
ISBN (Print)978-1-5386-4786-8
ISBN (Electronic)978-1-5386-4785-1
DOIs
Publication statusPublished - Jul 2018
Event2018 Global Fluid Power Society PhD Symposium (GFPS) - Samara, Russian Federation
Duration: 18 Jul 201820 Jul 2018

Conference

Conference2018 Global Fluid Power Society PhD Symposium (GFPS)
CountryRussian Federation
CitySamara
Period18/07/201820/07/2018

Fingerprint

Model predictive control
Energy efficiency
Dynamic analysis
Pumps

Keywords

  • Digital Displacement machines
  • Fluid Power
  • Model Predictive Control

Cite this

Pedersen, N. H., Johansen, P., & Andersen, T. O. (2018). Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit. In Proceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018 (pp. 1-9). [8472366] IEEE Press. https://doi.org/10.1109/GFPS.2018.8472366
Pedersen, Niels Henrik ; Johansen, Per ; Andersen, Torben O. / Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit. Proceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018. IEEE Press, 2018. pp. 1-9
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Pedersen, NH, Johansen, P & Andersen, TO 2018, Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit. in Proceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018., 8472366, IEEE Press, pp. 1-9, 2018 Global Fluid Power Society PhD Symposium (GFPS), Samara, Russian Federation, 18/07/2018. https://doi.org/10.1109/GFPS.2018.8472366

Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit. / Pedersen, Niels Henrik; Johansen, Per; Andersen, Torben O.

Proceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018. IEEE Press, 2018. p. 1-9 8472366.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Pedersen NH, Johansen P, Andersen TO. Model Predictive Control and Discrete Analysis of Partial Stroke Operated Digital Displacement Unit. In Proceedings of the IEEE Global Fluid Power Society PhD Symposium, GFPS2018. IEEE Press. 2018. p. 1-9. 8472366 https://doi.org/10.1109/GFPS.2018.8472366