Robust Model Predictive Control Based on Linear Fitting for Surface-Mounted Permanent Magnet Synchronous Motor
In order to improve the robustness of the model predictive control (MPC) for surface-mounted permanent magnet synchronous motor, this paper proposes a robustness MPC method using the linear fitting method based on orthogonal regression. The propo0sed method employs the current augmenter prediction model to eliminate the effects of the permanent magnet flux linkage, and designs the linear fitting method based on orthogonal regression to estimate the stator inductance to improve the robustness of the MPC method. Finally, the proposed MPC method is validated by means of the experimental results on a 3.1kW test platform.
Authors
- Yanfei Cao (ORCID: https://orcid.org/0000-0001-7126-8467)
- Youliang Fu (ORCID: https://orcid.org/0000-0003-4571-6830)
- Qinghui Meng (ORCID: https://orcid.org/0000-0001-6217-0126)
- Guangjie Shao (ORCID: https://orcid.org/0000-0001-6957-4828)
- Chen Li (ORCID: https://orcid.org/0000-0002-8014-6848)
- Fei Wang (ORCID: https://orcid.org/0000-0002-7332-9726)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-3192-0358)
- Nannan Sun (ORCID: https://orcid.org/0000-0002-8810-0078)
- Hanrui Wang (ORCID: https://orcid.org/0009-0005-0498-2712)
Institutions
- Weichai Power (China) (CN)
- Zhejiang Institute of Special Equipment Inspection (CN)
- Zhejiang University (CN)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.23919/icems60997.2024.10921319
- Primary Topic
- Iterative Learning Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province