感应电机模糊自适应全阶磁链观测器研究

Study on Fuzzy Adaptive Full-Order Flux Observer for Induction Motor

针对基于全阶磁链观测器的感应电机矢量控制系统存在低速不稳定问题,在观测转子磁链定向坐标系下,将转速辨识系统的稳定性问题转换为系统零极点的稳定性问题。利用劳斯-赫尔维茨判据得出了系统低速发电制动运行时的不稳定区域,给出了一种使不稳定区域最小化的反馈增益矩阵的设计方法。通过分析转速辨识对定、转子电阻的敏感性,提出一种引入自修正因子的模糊转速自适应律设计方法以减小参数变化的影响,提高转速辨识的精度。仿真结果表明所提方法不仅改善了感应电机矢量控制系统的低速运行性能,而且减小了参数摄动的影响,提高了系统的自适应性和鲁棒性。

For the low-speed instability problem of vector control system based on full-order flux observer for the induction motor, the stability problem of the speed identification system is converted to the stability problem of zeros and poles of the system in the observed rotor flux orientation coordinate. Using the Routh-Hurwitz criterion, the unstable region of the system at the low-speed regenerative state is given and a design method of the feedback gain matrix is obtained to minimize the unstable area of the speed identification system. By analyzing the sensitivity of the speed identification to the stator and rotor resistances, a design method of fuzzy speed adaptive law with self-tuning factors is proposed to reduce the effects of parameter change and improve the accuracy of speed identification. The simulation results show that the proposed method can not only improve the low-speed performance of the vector control system for the induction motor, but also reduce the influence of parameter perturbation, and improve the adaptability and robustness of the system.