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Neuron net control and its application in precision feed mechanism of machine tools driven by PZT

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6 Author(s)
Lu Zhaoquan ; Dept. of Electr. Eng., Anhui Inst. of Technol., Hefei, China ; Chen Daojiong ; Kong Huifang ; Wang Guornei
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In this paper a novel monolayer neural net model and learning algorithm are proposed to control a precision feed mechanism driven by piezoelectric ceramics (PZT) of machine tools. Experiment shows that the neural net control enables the cutter to trace the teaching signals rapidly and accurately, although the PZT cutter feed mechanism has characteristics of nonlinearity and hysteresis

Published in:

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Date of Conference:

2-6 Dec 1996

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