神经网络在永磁同步电机变频调速系统中的应用

摘要

永磁同步电机调速系统被广泛应用于工业、农业等各个领域。为了能够减少能源的消耗，节约成本，须在工业设计和控制技术方面实现高效率、高节能的要求。采用基于空间矢量脉宽调制（ SVPWM）策略的矢量控制方案能够使系统的调速范围较宽，精度较高，抗扰动能力强，得到较好的控制效果，但其超调量较大，而利用神经网络的精准建模特性可有效解决该问题。采用MATLAB／SIMULINK仿真软件设计了转速、电流双闭环SVPWM型交流变频调速系统，对永磁同步电机运用了id ＝0的矢量控制方法。提出在转速控制器的设计中，用单神经元控制器取代传统的PI控制器。通过调节控制器参数并进行仿真，验证了系统模型的合理性，有效地提高了系统的动态性能，改善了系统的稳定性。%The speed control system of the permanent magnet synchronous motor ( PMSM) has been widely used in industry , agriculture and many other fields .In order to reduce energy consumption and save cost effectively , it is necessary to accomplish the requirements of high efficiency and high energy saving on the aspects of industrial de -sign and control technology .The vector control method based on the space vector pulse width modulation ( SVP-WM) strategy provides wide speed range , high precision and good ability to resist disturbance for the system .The control effect is excellent , but its overshoot is large .The precise modeling property of the neural network is used to effectively solve this problem .This paper designed a kind of variable frequency speed control system based on SVP -WM that contains double closed-loop of speed and current by MATLAB/SIMULINK, and the vector control method of id =0 was used to control the PMSM.In this study,we adopt single neuron controller to replace the traditional PI controller in the process of designing a speed controller .Moreover, the rationality of the system model was verified by adjusting the parameters of the controller ,and the dynamic performance and stability of the system are improved .