基于转子参数辨识的感应电机矢量控制模糊系统

Vector control fuzzy system based on rotor parameter identification for induction motor

针对基于转子磁链观测的感应电机无速度传感器矢量控制(VC)中转子参数变化对系统性能影响较大的问题,分析了磁链观测器对转子时间常数的敏感性,提出了一种基于转子时间常数辨识和无速度传感器的感应电机矢量控制模糊系统。其中转子时间常数和电机转速采用基于定子电流模型的模型参考模糊自适应系统(MRFAS)方法进行辨识。此策略在感应电机模型参考自适应系统的基础上,用模糊控制器代替矢量控制系统中的PI型转速自适应律,结合在线辨识转子时间常数,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在全速范围内各种工况下都能够稳定运行,提高了系统的鲁棒性和自适应性,改善了系统的动、静态品质。

According to the great effect of rotor parameter variations on system performance in speed sensorless Vector Control （VC） of induction motor based on rotor flux observation, the sensitivity of flux observer on the rotor time constant was analyzed and a VC fuzzy system of induction motor based on rotor time constant identification and speed sensorless was proposed. In the system, the rotor time constant and the motor speed were identified by Model Reference Fuzzy Adaptive System （MRFAS） based on a stator current model. That was, on the basis of the induction motor model reference adaptive system, the PI-type speed adaptive laws were replaced by the fuzzy controller. Another fuzzy controller was used to online identify the rotor time constant, so as to improve the observation accuracy of speed and flux observation and reduce perturbations＇ impacts. The simulation results show that the system can operate stably at the various conditions in full speed range, enhance robustness and adaptability of system, and improve dynamic and static qualities of the system.