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感应电机转子磁链自适应观测及参数辨识 被引量:7

Adaptive rotor flux estimation and parameter identification for induction motor
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摘要 为了在现代异步电机高性能调速系统中实现磁链的准确观测,提出了一种基于模型参考方法的自适应转子磁链观测器.在电机运行过程中,以电机为参考模型,以观测方程为可调系统,建立了一个模型参考自适应系统(MRAS),对电机的转子磁链进行了实时观测,并对电机参数进行了在线辨识.设计了电机参数的自适应律,证明了磁链观测器的收敛性.仿真结果表明,当电机参数未知或者电机参数变化时,观测器能够准确观测电机的转子磁链;在电机的激励电压满足持续激励的条件下,观测器能够快速准确地辨识出电机参数. An adaptive rotor flux estimator based on model reference adaptive approach was proposed to ac curately estimate the flux of induction motors in modern high-performance drivers. Using an induction motor as reference model and a group of observed data equations as adjustable system, a model reference adaptive system (MRAS) was established to estimate the rotor flux of the induction motor and identify the motor parameters online during operation. The adaptive laws of parameters were designed and the flux estimator was proved convergent. Simulation results show that the estimator can observe accurately the rotor flux when the parameters are unknown or changing, and that the parameters of the motor can be identified rapidly online on condition that the input voltage is a persistent excitation.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2006年第2期339-343,351,共6页 Journal of Zhejiang University:Engineering Science
关键词 感应电机 模型参考自适应系统 状态观测器 持续激励 参数辨识 induction motor MRAS state observer persistency of excitation parameter identification
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