Research on positioning control of the precision positioning system of the grating ruling machine
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Abstract
The control and experiment research of the precision positioning system of the grating ruling machine were presented. Considering the non-linearity and time-variation characteristics of the precision positioning system, PID feedback control based on BP neural network was utilized in the positioning system. With the functions of self-learning,the parameters of the PID controller were adjusted in real time, and precision positioning could be realize by the PID controller. Experimental result shows that a positioning accuracy within 5 nm was achieved.
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