Dual-Mode Disturbance Observer-Based Predictive Control With Harmonic Current Suppression for Dual Three-Phase Permanent Magnet Synchronous Motor Drives
Dual three-phase (DTP) permanent magnet synchronous motor (PMSM) drives have gained considerable interest in those applications requiring high levels of reliability. However, they often suffer from high-order harmonic currents and mismatch of motor parameters, resulting in degraded performance and reduced efficiency. Therefore, this article proposes a dual-mode disturbance observer (DMDOB)-based model predictive current controller (MPCC). Not only direct current (dc) disturbances caused by motor parameters but also alternating current (ac) disturbances caused by high-order harmonic currents are explicitly modeled and estimated to achieve improved model accuracy. In addition, the observer parameter design is given in detail. Furthermore, a generalized predictive current controller with the integration of the proposed observer is developed to provide satisfactory harmonic current suppression capability and parameter robustness simultaneously. Proof of the stability of the proposed controller is given, and several experiments and comparisons demonstrate the effectiveness of the proposed method.
Authors
- Carlo Cecati (ORCID: https://orcid.org/0000-0001-9228-7886)
- Weiyang Lin (ORCID: https://orcid.org/0000-0002-0493-1289)
- Xinghu Yu (ORCID: https://orcid.org/0000-0001-8181-6199)
- Zhitai Liu (ORCID: https://orcid.org/0000-0002-5533-0774)
- Huanli Liu (ORCID: https://orcid.org/0000-0002-4384-2430)
- Concettina Buccella (ORCID: https://orcid.org/0000-0002-2221-403X)
Institutions
- Harbin Institute of Technology (CN)
- University of L'Aquila (IT)
Publication Details
- Journal
- IEEE Journal of Emerging and Selected Topics in Power Electronics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1109/jestpe.2025.3556930
- Citations
- 1
- Primary Topic
- Multilevel Inverters and Converters
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China