基于参数辨识的DTP-PMSM无传感器控制

Sensorless Control of DTP-PMSM with Parameter Identification

针对双三相永磁同步电动机(DTP-PMSM)在受到外界和电机内部影响时,会出现电气参数变化和传感器精度下降的问题,提出一种带参数辨识的无传感器控制方案。该方案通过MRAS来实现电阻和电感的在线辨识,为了减小谐波的影响,将其推广到静止坐标系中,采用Popov超稳定性理论设计出新的自适应律,并使用BP神经网络来优化自适应律的增益,实现增益的在线调节,提高系统的辨识精度。此外,为进一步提高系统的鲁棒性,提出了一种基于线性扩张状态观测器和滑模控制相结合的改进锁相环,通过Lyapunove函数证明其稳定性。仿真结果表明,提出的方法能够实现对电气参数的准确辨识,提高系统控制性能。

In order to solve the problem that when the dual three phase permanent magnet synchronous motor(DTP-PMSM)is affected by the external and internal factors,the electrical parameters will change and the accuracy of the sensor will decline.a sensorless control scheme with parameter identification is proposed.In this scheme,MRAS is used to realize resistance and inductance online identification.In order to reduce the influence of harmonics,it is extended to the static coordinate system.A new adaptive law is designed using Popov′s hyperstability theory,and BP neural network is used to optimize the gain of the adaptive law,realize online adjustment of the gain,and improve the identification accuracy of the system.In addition,in order to further improve the robustness of the system,an improved phase-locked loop based on combining linear extended state observer with sliding mode control is proposed.The simulation results show that the proposed method can achieve accurate identification of electrical parameters and improve the system control performance.