中文摘要：

针对伺服感应电动机DTC控制中常规速度观测器难以达到很高精确度的问题,在其基础上设计了模糊速度观测器。由于模糊观测器的模糊控制规则主观性较强,因此设计自学习模糊速度观测器,并给出了详细的算法和流程。建立了伺服感应电动机DTC控制模型,其中速度观测器采用文中提出的自学习模糊速度观测器。在此基础上组建了基于TI公司TMS320LF2407DSP与IPM相结合的实验平台并进行实验。实验结果表明,提出的观测器能较好地对伺服电机的转速进行观测,为伺服电机的精确定位控制提供思路。

英文摘要：

Aiming at difficulties for conventional speed observer to reach high precision in DTC of servo induction motor,the paper designed fuzzy velocity observer.Since the fuzzy observer has a strong subjectivity in fuzzy control rules,self-learning fuzzy velocity observer is produced to present detailed algorithm process.Then,a DTC induction motor servo control simulation model is established,which adopts the self-learning fuzzy in velocity observer.Based on this,the paper built an experimental platform combining TI TMS320LF2407DSP with IPM.Experiment results showed that the proposed observer made well observation on the servo motor velocity,thus providing an idea for accurate positioning control of servo-motor.