A new predictive model reference adaptive system(MRAS)speed estimator was proposed to address the problem of the traditional proportional-integral(PI)adaptive rate in the induction machine(IM)drive system used for shield tunneling without a speed sensor.The traditional PI adaptive rate in the MRAS system relies on manual experience adjustment and cannot adapt to model changes.The proposed estimator was based on the principles of finite control set model predictive control.A search-based optimization algorithm was adopted during the rotor speed calculation,which ensures minimum speed adjustment error signals in each sampling peri-od and avoids the use of a proportional integral controller.Experimental results show that the proposed speed estimator has excellent dy-namic and static performance over a wide speed range.
关键词
感应电机/矢量控制/模型预测控制/模型自适应/无传感器控制
Key words
induction machine/vector control/model predictive control/model adaptive/sensorless control
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