关键词: BP 神经网络；自适应；永磁同步电机；PI 矢量控制

Abstract: In order to improve the response speed of the permanent magnet synchronous motor vector control system and improve the robustness of the system, this paper uses an adaptive proportional integral (PI) vector control strategy to improve the traditional vector control strategy. According to the relevant parameters of a permanent magnet synchronous motor for a hybrid electric vehicle, the paper establishes a motor model and a traditional vector control simulation model; designs an adaptive PI controller based on BP neural network, improves traditional vector control simulation model. Finally, the simulation comparison and analysis of the two control system are carried out under torque sudden change conditions. The results show that: compared with the traditional vector control strategy, the designed adaptive PI vector control strategy based on BP neural network can effectively improve the response speed of the system, enhance the robustness of the control system, and meet the requirements of vehicle motors.

Key words: BP neural network; Adaptive; Permanent magnet synchronous motor; PI vector control