同步旋转坐标系下感应电机神经网络逆控制  

ANN Inverse Control Method of Induction Motor in Synchronous Rotating Reference Frame

作　　者：王新[1] 戴先中[1] 

机构地区：[1]东南大学自动化学院,江苏南京210096

出　　处：《电气传动》2008年第5期52-57,共6页Electric Drive

摘　　要：根据同步旋转坐标系下感应电机数学模型,基于控制转子磁链与转速的感应电机电流控制型结构,给出了电流控制型感应电机解析逆控制方法的一般形式的控制律,采用神经网络逼近解析逆控制律,解决由于参数变化和观测量不准带来的解耦被破坏问题。理论分析表明,此方法可以实现感应电机系统的自适应解耦及线性化,弱化了转子磁链与转速之间的耦合程度,简化了外环线性控制器的设计,提高了整个系统控制性能。最后,对感应电机系统控制进行仿真及实验研究来验证该方法的有效性。Based on controlling current-fed induction motor which control the magnitude of rotor flux and speed, according to the induction motor model under synchronous rotating transformation, a general analysis inverse control law of current-fed induction motor was given, using ANN to approximate analysis inverse control law in order to solve the destroyed of decoupling due to parameter variation and inaccurate observed flux. Theoretically analysis show that the method can implement the adaptive decoupling and linearization, make the couple between the rotor flux and speed weaker and the design of outer loop controller easy, so the whole system control performance is improved. At last, the study of simulation and experiment verifies the valid of the proposed method.

关 键 词：同步旋转坐标系 神经网络逆系统 自适应解耦线性化 电流控制型感应电机 鲁棒性 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]