The braking time is an important parameter which affects the positioning accuracy of asynchronous motor under the energy consumption braking mode. According to the nonlinear relationship between the braking time and its influencing factors, a braking time prediction method based on BP neural network was proposed. The samples were collected by experiment and normalized. The BP neural network model was established to predict braking time.The training samples were used to train the BP network, and the test samples were input into the trained network for simulation. The simulation results show that the method has good prediction effect.
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韩亮.基于BP神经网络的异步电机制动时间预测[J].机床与液压,2018,46(19):56-58. . Braking Time Prediction of Asynchronous Motor Based on BP Neural Network[J]. Machine Tool & Hydraulics,2018,46(19):56-58