基于模糊神经网络系统的三相感应电机矢量控制  

Research on Control System of Three-phase Induction Motors with ANFIS

作　　者：韩维[1] 汪泉 李海军[1] 

机构地区：[1]三峡大学,宜昌443002 [2]神农架林区供电公司,神农架442400

出　　处：《现代科学仪器》2014年第2期61-65,共5页Modern Scientific Instruments

摘　　要：为实现三相感应电机稳定控制,提出了一种基于自适应模糊神经网络推理系统（ANFIS）的感应电机矢量控制方法。ANFIS结合了模糊逻辑的调节能力与神经网络的自适应能力,被广泛的应用到电机的参数估计、转速、转矩和磁链控制中。在分析感应电机工作原理的基础上,推导出其数学模型,在Matlab/Simulink上采用基于ANFIS的矢量控制对三相感应电机进行系统仿真,仿真结果表明,该控制策略转矩波动小,转速响应快,具有良好的动态和静态性能。To achieve the stability control of three-phase induction motors, a vector control method based on adaptive fuzzy neural network inference system （ANFIS） was proposed.ANFIS combines the adjustment ability of fuzzy logic and the adaptive ability of neural network,it has widely applied to the parameter estimation, speed control,torque and flux control of motors.According to the working principle of the induction motor, the mathematical model to induction motors was deduced,then the simulation system of induction motors was established based on ANFIS in Matlab/Simulink. The simulation results showed that the proposed control strategy has the advantages of low torque ripple,fast response speed,and the system has good dynamic and static performance

关 键 词：感应电机 模糊神经网络 数学模型 

分 类 号：TM341[电气工程—电机]