Control Strategy of Permanent Magnet Synchronous Motor Based on Improved Sliding Mode Controller
In the field of modern motor control, the Permanent Magnet Synchronous Motor (PMSM) is widely used. However, in actual operation, when the motor starts and during step responses, the control system based on the traditional sliding mode controller has problems. To ensure the rapidity of the response, it will generate overshoot phenomena, which need to be avoided as much as possible in high-precision control scenarios. In view of this, this paper takes the Permanent Magnet Synchronous Motor (PMSM) as the research basis and proposes an improved sliding mode controller, aiming to optimize the overshoot problem that occurs when the PMSM starts and during step responses. Specifically, in this improved scheme, the Fal function is adopted to skillfully fit the input signal of the controller. The Fal function has the unique characteristic that it can achieve the effect of “large gain for small errors and small gain for large errors”. Through such a fitting method, the redesigned improved sliding mode controller not only successfully retains the important advantage of the rapidity of the system response but also can effectively suppress the occurrence of overshoot phenomena, thus significantly improving the performance of the entire control system. Finally, the control system of the PMSM motor is simulated by Simulink, and the effectiveness and superiority of the improved sliding mode controller are verified.
Authors
- Shan Lu (ORCID: https://orcid.org/0000-0001-9357-9821)
- Zhenwei Cao (ORCID: https://orcid.org/0000-0002-6910-7346)
- Zhibin Chen (ORCID: https://orcid.org/0000-0003-1140-9808)
- Guodong Sun (ORCID: https://orcid.org/0000-0002-6554-7379)
Institutions
- University of Science and Technology Liaoning (CN)
- Shenzhen Polytechnic University (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/icises64179.2024.11116278
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00