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出 处:《电气技术》2012年第9期19-23,共5页Electrical Engineering
摘 要:传统的模型参考自适应系统(MRAS)以电压模型作为参考模型,由于电压模型中纯积分环节存在初值和漂逸问题并受电机参数的影响,导致系统的低速性能变差。为了改善系统的低速性能和鲁棒性,介绍了一种基于定子电流模型的模型参考自适应法来辨识感应电机转速和转子磁链,并以此构成矢量控制系统。基于Matlab/Simulink仿真平台对该系统进行了大量的仿真实验。仿真结果表明,该方法具有良好的低速性能,并且对定转子电阻参数变化具有较好的鲁棒性。The traditional model reference adaptive system (MRAS) take voltage model as a reference model, the performance of the IM drive system at low speeds became worst by influencing initial value and drift problems of the pure integrator in the voltage model and the variation of motor parameters. In order to improve the low-speed performance and robustness of the system, this paper describes a stator current model-based model reference adaptive method to identify the motor speed and rotor flux, and thus constitutes a vector control system. A lot of the system simulations are completed based on Matlab/Simulink simulation platform. The simulation results show that the robustness against changes of the stator and rotor method has good performance at low speeds, and better parameters.
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