基于神经网络的超声电机无速度传感器控制

IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468) Pub Date : 2003-11-02 DOI:10.1109/IECON.2003.1280003

T. Senjyu, T. Yoshida, K. Uezato, N. Urasaki, S. K. Panda

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引用次数: 6

摘要

提出了一种基于神经网络的超声电机无速度传感器控制方法。在该方法中，使用三层神经网络进行离线训练。采用驱动频率、输入电压的均方根值和USM的表面温度作为神经网络的输入进行速度估计。实验结果验证了该方法的有效性。

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Speed sensorless control of ultrasonic motors using neural network

This paper presents a speed sensorless control for ultrasonic motors using a neural network. In the proposed method, a three-layered NN is used with offline training. The drive frequency, the root mean square value of input voltage and the surface temperature of USM are used as the inputs of NN for speed estimator. The validity of the proposed method is confirmed by experimental results.

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IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)

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