Increased dynamic drivetrain performance by implementing a modular design with decentralized control architecture
- Author
- Niels Divens, Theo Tuerlinckx, Bernhard Westerhof, Kurt Stockman (UGent) , David van Os and Koen Laurijssen
- Organization
- Project
- Abstract
- This paper assesses the energy consumption, control performance, and application-specific functional requirements of a modular drivetrain in comparison to a benchmark drivetrain. A decentralised control architecture has been developed and validated using mechanical plant models. Simscape models have been validated with data from an experimental setup including an equivalent modular and benchmark drivetrain. In addition, the control strategy has been implemented and validated on the experimental setup. The results prove the ability of the control strategy to synchronize the motion of the different sliders, resulting in crank position tracking errors below 0.032 radians on the setup. The model and experimental data show an increased performance of the modular drivetrain compared to the benchmark drivetrain in terms of energy consumption, control performance, and functional requirements. The modular drivetrain is especially advantageous for machines running highly dynamic motion profiles due to the reduced inertia. For such motion profiles, an increased position tracking of up to 84% has been measured. In addition, it is shown that the modular drivetrain root mean square (RMS) torque is reduced with 32% compared to the benchmark drivetrain. However, these mechanical energy savings are partly counteracted by the higher motor losses seen in the modular drivetrain, resulting in potential electrical energy savings of around 29%.
- Keywords
- modular drivetrain, drivetrain performance, energy consumption
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HFRH9FQMM02WMXHD0W9K5JKG
- MLA
- Divens, Niels, et al. “Increased Dynamic Drivetrain Performance by Implementing a Modular Design with Decentralized Control Architecture.” MACHINES, vol. 11, no. 11, 2023, doi:10.3390/machines11111036.
- APA
- Divens, N., Tuerlinckx, T., Westerhof, B., Stockman, K., van Os, D., & Laurijssen, K. (2023). Increased dynamic drivetrain performance by implementing a modular design with decentralized control architecture. MACHINES, 11(11). https://doi.org/10.3390/machines11111036
- Chicago author-date
- Divens, Niels, Theo Tuerlinckx, Bernhard Westerhof, Kurt Stockman, David van Os, and Koen Laurijssen. 2023. “Increased Dynamic Drivetrain Performance by Implementing a Modular Design with Decentralized Control Architecture.” MACHINES 11 (11). https://doi.org/10.3390/machines11111036.
- Chicago author-date (all authors)
- Divens, Niels, Theo Tuerlinckx, Bernhard Westerhof, Kurt Stockman, David van Os, and Koen Laurijssen. 2023. “Increased Dynamic Drivetrain Performance by Implementing a Modular Design with Decentralized Control Architecture.” MACHINES 11 (11). doi:10.3390/machines11111036.
- Vancouver
- 1.Divens N, Tuerlinckx T, Westerhof B, Stockman K, van Os D, Laurijssen K. Increased dynamic drivetrain performance by implementing a modular design with decentralized control architecture. MACHINES. 2023;11(11).
- IEEE
- [1]N. Divens, T. Tuerlinckx, B. Westerhof, K. Stockman, D. van Os, and K. Laurijssen, “Increased dynamic drivetrain performance by implementing a modular design with decentralized control architecture,” MACHINES, vol. 11, no. 11, 2023.
@article{01HFRH9FQMM02WMXHD0W9K5JKG,
abstract = {{This paper assesses the energy consumption, control performance, and application-specific functional requirements of a modular drivetrain in comparison to a benchmark drivetrain. A decentralised control architecture has been developed and validated using mechanical plant models. Simscape models have been validated with data from an experimental setup including an equivalent modular and benchmark drivetrain. In addition, the control strategy has been implemented and validated on the experimental setup. The results prove the ability of the control strategy to synchronize the motion of the different sliders, resulting in crank position tracking errors below 0.032 radians on the setup. The model and experimental data show an increased performance of the modular drivetrain compared to the benchmark drivetrain in terms of energy consumption, control performance, and functional requirements. The modular drivetrain is especially advantageous for machines running highly dynamic motion profiles due to the reduced inertia. For such motion profiles, an increased position tracking of up to 84% has been measured. In addition, it is shown that the modular drivetrain root mean square (RMS) torque is reduced with 32% compared to the benchmark drivetrain. However, these mechanical energy savings are partly counteracted by the higher motor losses seen in the modular drivetrain, resulting in potential electrical energy savings of around 29%.}},
articleno = {{1036}},
author = {{Divens, Niels and Tuerlinckx, Theo and Westerhof, Bernhard and Stockman, Kurt and van Os, David and Laurijssen, Koen}},
issn = {{2075-1702}},
journal = {{MACHINES}},
keywords = {{modular drivetrain,drivetrain performance,energy consumption}},
language = {{eng}},
number = {{11}},
pages = {{19}},
title = {{Increased dynamic drivetrain performance by implementing a modular design with decentralized control architecture}},
url = {{http://doi.org/10.3390/machines11111036}},
volume = {{11}},
year = {{2023}},
}
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