Robust Adaptive Deadbeat Predictive Current Control of PMSM Drives based on Improved Generalized Extended State Observer
The control accuracy of conventional DPCC is greatly dependent on the parameter accuracy of the system. To overcome this limitation, a robust adaptive deadbeat predictive current control strategy based on an improved generalized extended state observer (IGESO) is proposed. This approach employs a model reference adaptive system (MRAS) to perform online identification of inductance parameters, enabling real-time updates to both the controller and IGESO to adapt to inductance variations. Furthermore, the proposed IGESO exhibits superior anti-interference and anti-noise capabilities, effectively mitigating the effects of resistance and flux parameter changes on system performance. Simulation results confirm that the proposed algorithm can effectively reduce current harmonics under parameter mismatch, showing excellent robustness and control performance.
Authors
- Wenjie Li (ORCID: https://orcid.org/0000-0002-0029-1368)
- Yongting Deng (ORCID: https://orcid.org/0000-0002-3093-6622)
- Laixiang Xu (ORCID: https://orcid.org/0000-0001-5412-7689)
- Haiyang Cao (ORCID: https://orcid.org/0000-0001-6879-3068)
- Xiufeng Liu (ORCID: https://orcid.org/0000-0002-0193-6121)
- Chuanlong Zhai
Institutions
- Changchun Institute of Optics, Fine Mechanics and Physics (CN)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/precede63178.2025.11130956
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences