基于MRAS的直线感应电动机充磁电感在线估计

Jinqi Ren, Yao-hua Li
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引用次数: 7

摘要

由于动态端效应,单面直线感应电机(SLIM)的参数在运行阶段变化较大,无法通过离线参数辨识方法准确获取。建立了一种基于状态空间方程的可调动态电机模型,提出了一种基于MRAS的在线辨识方法,可以准确计算出运动状态下LIM的磁化电感。仿真和实验结果验证了该算法具有良好的收敛能力和计算精度。参数辨识结果与LIM动态特性基本一致,调节模型输出电流与实际电机输出电流基本一致。
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MRAS based online magnetizing inductance estimation of linear induction motor
Due to the dynamic end effect, the parameters of SLIM (single sided Linear induction motor) can vary greatly during the operation stage, and cannot be obtained accurately through offline parameter identification method. An adjustable dynamic motor model based on state space equations of LIM is established and a new online identification method based on MRAS is presented, magnetizing inductance of LIM under moving condition can be calculated accurately. The algorithm is validated by simulation and experimental results and show good convergence ability and calculation accuracy. The parameter identification result is in agreement with the LIM dynamic characteristics and the output current of regulated model is almost identical to that of the real motor.
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