Improved Deadbeat Predictive Current Control of PMSM Drives With Repetitive Control-Based Disturbance Correction Observer
In order to achieve high robustness and high-precision current control, this article proposes a disturbance correction observer based on repetitive control (RDCO) for deadbeat predictive current control (DPCC-RDCO) scheme of permanent magnet synchronous motor (PMSM). In this technology, the disturbance correction based on the disturbance estimation of the extended state observer is presented to enhance the observer robustness. Meanwhile, a repetitive controller is embedded into the disturbance correction term to improve the estimation accuracy of periodic harmonics. Furthermore, the estimation performance, parameter characteristics, and convergence stability of the proposed observer are theoretically analyzed. With the current disturbance and current prediction accurately estimated by the RDCO, the improved DPCC scheme based on the established predictive current model is developed. Compared with the basic schemes, the proposed DPCC-RDCO can effectively suppress current deviation, and achieve excellent dynamic tracking and robust performance. Finally, the effectiveness and superiority of the studied method are verified experimentally in PMSM drives under different operating conditions.
Authors
- Yun Zuo (ORCID: https://orcid.org/0000-0002-0864-1967)
- Yongting Deng (ORCID: https://orcid.org/0000-0002-3093-6622)
- Huanzhi Wang (ORCID: https://orcid.org/0000-0003-1446-6672)
- Haiyang Cao (ORCID: https://orcid.org/0000-0001-6879-3068)
- Christopher H. T. Lee (ORCID: https://orcid.org/0000-0001-5132-4126)
- Xiufeng Liu (ORCID: https://orcid.org/0000-0002-0193-6121)
- Jing Liu (ORCID: https://orcid.org/0009-0007-3796-7046)
Institutions
- Nanyang Technological University (SG)
- Chinese Academy of Sciences (CN)
- Changchun Institute of Optics, Fine Mechanics and Physics (CN)
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- IEEE Transactions on Power Electronics
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/tpel.2024.3482315
- Citations
- 24
- Primary Topic
- Multilevel Inverters and Converters
- Type
- article
- Field-Weighted Citation Impact
- 5.01
Funders
- National Natural Science Foundation of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences