Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine

Authors

Alejandro Garcés-Ruiz, Walter Julián Gil González

Abstract

Context: This study focuses on advanced control techniques for permanent magnet synchronous machines (PMSMs), which are crucial in various industrial applications due to their efficiency and precise control requirements. Passivity-based control methods offer stability and performance, addressing these challenges effectively. Method: A passivity-based model predictive control (MPC) is proposed, integrating port-Hamiltonian representation with optimization. Stability theorems are theoretically explored. The simulation evaluates the performance of our proposal under different prediction horizons and stability constraints. Results: The proposed MPC is analyzed across several horizons, both including and excluding passivity and exponential stability constraints.  Conclusions: This study presents a novel passivity-based MPC approach for PMSM speed regulation, highlighting the importance of stability constraints. Future research should extend this controller to synchronous machines in power systems and voltage source converters.

Citation

• Journal: Ingeniería
• Year: 2024
• Volume: 29
• Issue: 3
• Pages: e22162
• Publisher: Universidad Distrital Francisco Jose de Caldas
• DOI: 10.14483/23448393.22162

BibTeX

@article{Garc_s_Ruiz_2024,
  title={{Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine}},
  volume={29},
  ISSN={0121-750X},
  DOI={10.14483/23448393.22162},
  number={3},
  journal={Ingeniería},
  publisher={Universidad Distrital Francisco Jose de Caldas},
  author={Garcés-Ruiz, Alejandro and Gil González, Walter Julián},
  year={2024},
  pages={e22162}
}

Download the bib file

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