感应电机模型参考模糊自适应矢量控制系统研究  

Study on Model Reference Fuzzy Adaptive Vector Control System for Induction Motor

作　　者：蒋林[1] 应凯[1] 

机构地区：[1]西南石油大学电气信息学院，四川 成都 610500

出　　处：《电气传动》2014年第4期14-19,共6页Electric Drive

基　　金：国家自然科学基金(51204139);四川省教育厅科技项目(13ZB0199);西南石油大学科研基金(2012XJ2023)

摘　　要：针对基于转子磁链模型参考自适应法的感应电机矢量控制系统性能受转子参数影响较大的问题,分析磁链观测器对转子参数的敏感性,提出了一种基于转子参数辨识和模糊控制的感应电机无速度传感器控制方法。该方法通过基于定子电流模型的模型参考模糊自适应系统来估计电机转速和转子参数,其中转速自适应率采用参数自调整模糊控制方法进行设计,并在线辨识转子参数,以提高转速和磁链的观测精度、减小参数摄动影响。仿真结果表明该系统具有较强的鲁棒性和自适应性。According to the great effect of rotor parameter variations on vector control（VC）system performancefor induction motor in the model reference adaptive system（MRAS）based on rotor flux,the sensitivity of flux observerto the rotor parameter was analyzed,and a speed sensorless control method based on rotor parameter identification andfuzzy control for induction motor was proposed. In this method,a model reference fuzzy adaptive system（MRFAS）based on stator current model was presented to estimate the rotor speed and parameters. A speed adaptive law wasdesigned by parameter self-adjusting fuzzy control and online rotor parameter identification method to enhance theobservation precision of the rotor speed and flux,and reduce the parameter perturbation influence. The simulationresults show that the system has the stronger robustness and adaptability.

关 键 词：感应电机 模型参考模糊自适应系统 转子参数辨识 矢量控制 参数自调整模糊控制器 

分 类 号：TM346[电气工程—电机]