模糊单神经元PI复合调节的永磁同步电动机矢量控制系统

PMSM Vector Control System Regulated by Combination of Fuzzy and Single Neuron PI

在分析永磁同步电动机(PMSM)数学模型的基础上,提出了一种模糊单神经元复合控制的方法,它兼有模糊控制和单神经元控制的优点,对被控对象的数学模型要求不高,能够克服传统控制方法中由于电机参数时变和负载扰动而带来的系统性能变差,具有较好的鲁棒性和实时性。该算法已应用于永磁同步电动机双闭环矢量控制系统中的转速控制器中。仿真结果表明,采用该方法的系统具有良好的静态和动态性能。

According to the mathematical model of the permanent magnet synchronous motor（ PMSM ） ,a novel intelli- gent method which is an integration of fuzzy control and single control is proposed. The method has merit of both fuzzy control and single neuron control, and has low dependence on mathematical model of controlled plant, because it can overcome efficiently the limitation of traditional control method resulted from load disturbance and parameter variety with the time, the system has good robustness and real-time performance. In the double loop vector controlled system of PMSM the method is applied to speed controller. The simulation results show the system applied this method has excellent static and dynamic performance.