基于神经网络自适应PID的异步电动机定子磁场定向控制  

Stator Flux Oriented Control for Induction Motors Based on Neural Network Adaptive PID

作　　者：蔡文皓[1] 范俊[1,2] 

机构地区：[1]西安科技大学,陕西西安710054 [2]镇江船艇学院,江苏镇江212003

出　　处：《微特电机》2010年第12期63-65,69,共4页Small & Special Electrical Machines

摘　　要：针对异步电动机这一多变量、非线性、强耦合的控制对象,提出了一种基于神经网络自适应PID控制器的异步电动机定子磁场定向解耦控制的新方法。采用定子磁场定向控制,以定子磁链作为反馈量,运用电流励磁分量解耦补偿环节,实现了定子磁场定向控制下电机转速与定子磁链间的解耦控制。同时为实现对异步电动机快速和精确控制,设计出用于异步电动机的神经网络自适应PID控制器,利用神经元的自学习功能在线调节连接权重,实现自适应控制。实验结果表明：这种方法具有控制性能不受电机转子参数的影响,以及快速的转速和转矩响应的特点。A stator flux oriented control method based on neural network adaptive PID was applied to the induction motors with its multi-variable,nonlinear and coupled system.The decoupling control between the stator flux and the rotor speed was realized by using the method of stator flux orientation and the current excitation component decoupling compensation.For the sake of fast and accurate control of the induction motor,the design of the neural network adaptive PID controllers were used in the vector control with digital signal processor.The adaptive control was realized by using the capability of the neuron self-study online adjusting the weight.Experimental results show that the behaviors of the improved stator flux control are not influenced by the rotor parameters and that rapid responses of the speed and electrical torque are achieved.

关 键 词：自适应PID 异步电动机 定子磁场定向控制 解耦控制 

分 类 号：TM343[电气工程—电机]