Vector control method, recording medium and system for synchronous motor
By establishing a small signal model and a loop iteration method, the vector control of the synchronous motor is optimized, which solves the problem of dependence on motor parameters, improves control accuracy and robustness, and reduces the amount of calculation.
Patent Information
- Application Number
- CN202411858458.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-17
- Publication Date
- 2025-09-23
- Estimated Expiration
- 2044-12-17
AI Technical Summary
The existing model predictive current control algorithm is highly dependent on motor parameters, resulting in large computational complexity and low control efficiency and accuracy. In addition, the artificial neural network algorithm is not closely integrated with the model predictive current control.
By establishing the state equation of the small signal model and using Laplace transform to obtain the relationship between the virtual current deviation and the virtual voltage deviation, combined with the idea of loop iteration, the dependence on motor parameters is reduced, the closest voltage vector is selected for control, and the calculation process is optimized.
The data processing amount is reduced, the robustness and control accuracy are improved, the dependence on motor parameters is reduced, and smaller current harmonics are achieved.