摘要
传统的异步电动机T型模型对于线性系统的分析来说过于复杂,而且当参数变化时,电动机的方程变为时变方程且难以分析。本文分析了异步电动机Γ-1模型,它相对于T型模型来说不仅简化了电动机模型,减少电动机等效电路参数而且有利于矢量控制分析。在Γ-1模型下进行扩展卡尔曼滤波分析,可以简化矩阵的复杂性。若把电动机参数的变化归为状态噪声矢量,可使电动机矢量控制角估计更为精准,从而提高矢量控制性能。开环转速估计器不仅结构简单而且可以减少EKF矩阵计算量,对其做抗噪声低通滤波处理,能满足动态和稳态要求。控制系统采用高性能DSP实现,实验结果表明在较宽的速度范围内能达到令人满意的稳态性能。
Most analysis of induction motor drives employs the conventional T-type equivalent circuit. This model is actually as complicated as unnecessary for analysis in the linear system. Moreover, it is inadequate for use when parameters varied. Γ^-1 -type model is simple and particularly appropriate for analysis of vector control of induction motors. Extended Kalman filter （EKF） based on Γ^-1 model is studied and implemented in vector control system. The influence of motor parameter changes is treated as the state noises of EKF and this improves the precision for vector control. Open-loop speed estimator has not only simpler structure but also reduces the computational cost of EKF. The speed estimator has a low-pass filter to suppress the noise generated by the pure differentiator in order to satisfy both dynamic and steady state requirements. The experimental results based on DSP demonstrate the satisfied steady performances in wide range of speed control.
出处
《电工技术学报》
EI
CSCD
北大核心
2009年第5期29-33,45,共6页
Transactions of China Electrotechnical Society
基金
"十一五"国家科技支撑计划重点项目(2006BAG02B06)
