In this paper, a model was constructed on the base of BP neural network to estimate the thrust fluctuation.
本文运用BP神经网络，建立了波动力估计模型，实现了波动推力补偿指令的计算。
The FEM calculation results prove that the thrust fluctuation of the motor can be effectively cut down with proposed method.
计算了不同磁极宽度情况下的电机推力，结果表明采用该方法可以有效减小电机的推力波动。
Servo characteristics of permanent magnet synchronous linear motors (PMSLM) was improved by studying measures to reduce the thrust fluctuation in PMSLM.
为改善永磁同步直线电机的伺服性能，需要研究减小其推力波动的技术措施。
Servo characteristics of permanent magnet synchronous linear motors (PMSLM) was improved by studying measures to reduce the thrust fluctuation in PMSLM.
为改善永磁同步直线电机的伺服性能，需要研究减小其推力波动的技术措施。
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