Author:
Chen Xiumei,Liu Jiachi,Lin Haochun,Xu Youmin
Abstract
Abstract
A method to identify the position error of direct drive numerical control turntable by measuring current and eccentric load is proposed, and the position error model of direct drive numerical control turntable based on whale Optimized BP (WOABP) neural network is established. The test-bed is built to measure the current, eccentric load and position error. The measured current and eccentric load are trained by WOABP neural network, and the position error of direct drive numerical control turntable is obtained. By comparing the original error, the error obtained by BP neural network and the error obtained by WOABP neural network, the effectiveness of WOABP neural network model is verified. The position error of direct drive numerical control turntable is compensated by the error obtained by the model.
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