摘要
针对异步电机在运行过程中,由于温度变化或磁场饱和等原因,造成电机参数发生变化,尤其是转子时间常数变化影响矢量控制系统性能的问题,提出了一种基于定子磁链模型的转子时间常数的在线估计方法。定子磁链的电压-电流模型具有结构简单,对参数依赖性小的优点,依据模型参考自适应(model reference adaptive system,MRAS)原理,将其优化后作为参考模型建立系统,能够在宽调速范围内更加准确的辨识出转子时间常数,并采用Popov稳定性理论,设计出自适应律,保证了系统的稳定性。通过仿真和实验验证了该方法的正确性和可行性。
In a vector-controlled induction machine drive, the machine electrical parameters, especially the rotor time constant, vary during operation of the machine due to many reasons, such as ohmic heat- ing, flux saturation. Therefore, in order to improve the performance of vector control system, an online method based on the stator flux linkage model was proposed for identifying the rotor time constant. Ac- cording to the model reference adaptive system （MRAS） theory, system by taking the optimized stator flux linkage voltage-current model was built, which has the advantage of simple structure and little de- pendence on parameters. The system identifies the rotor time constant more accurately in a wide range of speed. Meanwhile the stability is satisfied through designing the adaptive law by using Popov stability principle. The validity and practicability are verified by simulation and experiment results.
出处
《电机与控制学报》
EI
CSCD
北大核心
2014年第1期56-61,共6页
Electric Machines and Control
基金
国家自然科学基金(51127001)
关键词
异步电机
矢量控制
转子时间常数辨识
定子磁链模型
模型参考自适应
induction motor
vector control
rotor time constant identification
stator flux linkage model
model reference adaptive system
