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Abstract
Modularity as a combination of multiple repeated motor modules is introduced in this paper as a tool to reduce mechanical resonances. A simulation model in Matlab/Simscape of a representative modular application is built. Both the mechanical drivetrain and the motor controller are modelled. The dynamic behaviour of the mechanical model is validated through experimental measurements on a test setup. Mitigation of mechanical resonances through a modular driveline is evaluated with the simulation model. Comparison against a reference benchmark with only one motor shows a 73 % reduction of the RMS value of mechanical resonances for the modular architecture when an interleaving control strategy is applied.
Keywords
Modularity, Drivetrain, Torque ripple, Motor control, Simulation, SIMULATION, STABILITY

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MLA
van Os, David, et al. “Drivetrain Torque Ripple Reduction with a Modular Motor Architecture.” 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2021, pp. 19–24, doi:10.1109/AIM46487.2021.9517683.
APA
van Os, D., Vansompel, H., De Decker, J., Sergeant, P., Vandenhove, T., Schlimpert, S., & Stockman, K. (2021). Drivetrain torque ripple reduction with a modular motor architecture. In 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 19–24). Delft, Netherlands: IEEE. https://doi.org/10.1109/AIM46487.2021.9517683
Chicago author-date
Os, David van, Hendrik Vansompel, Jelle De Decker, Peter Sergeant, Thomas Vandenhove, Stephan Schlimpert, and Kurt Stockman. 2021. “Drivetrain Torque Ripple Reduction with a Modular Motor Architecture.” In 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 19–24. IEEE. https://doi.org/10.1109/AIM46487.2021.9517683.
Chicago author-date (all authors)
van Os, David, Hendrik Vansompel, Jelle De Decker, Peter Sergeant, Thomas Vandenhove, Stephan Schlimpert, and Kurt Stockman. 2021. “Drivetrain Torque Ripple Reduction with a Modular Motor Architecture.” In 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 19–24. IEEE. doi:10.1109/AIM46487.2021.9517683.
Vancouver
1.
van Os D, Vansompel H, De Decker J, Sergeant P, Vandenhove T, Schlimpert S, et al. Drivetrain torque ripple reduction with a modular motor architecture. In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE; 2021. p. 19–24.
IEEE
[1]
D. van Os et al., “Drivetrain torque ripple reduction with a modular motor architecture,” in 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Delft, Netherlands, 2021, pp. 19–24.
@inproceedings{8711629,
  abstract     = {{Modularity as a combination of multiple repeated motor modules is introduced in this paper as a tool to reduce mechanical resonances. A simulation model in Matlab/Simscape of a representative modular application is built. Both the mechanical drivetrain and the motor controller are modelled. The dynamic behaviour of the mechanical model is validated through experimental measurements on a test setup. Mitigation of mechanical resonances through a modular driveline is evaluated with the simulation model. Comparison against a reference benchmark with only one motor shows a 73 % reduction of the RMS value of mechanical resonances for the modular architecture when an interleaving control strategy is applied.}},
  author       = {{van Os, David and Vansompel, Hendrik and De Decker, Jelle and Sergeant, Peter and Vandenhove, Thomas and Schlimpert, Stephan and Stockman, Kurt}},
  booktitle    = {{2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)}},
  isbn         = {{9781665441391}},
  issn         = {{2159-6255}},
  keywords     = {{Modularity,Drivetrain,Torque ripple,Motor control,Simulation,SIMULATION,STABILITY}},
  language     = {{eng}},
  location     = {{Delft, Netherlands}},
  pages        = {{19--24}},
  publisher    = {{IEEE}},
  title        = {{Drivetrain torque ripple reduction with a modular motor architecture}},
  url          = {{http://dx.doi.org/10.1109/AIM46487.2021.9517683}},
  year         = {{2021}},
}

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