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

摘要

In this paper a novel monolayer neural net model and learningalgorithm are proposed to control a precision feed mechanism driven bypiezoelectric ceramics (PZT) of machine tools. Experiment shows that theneural net control enables the cutter to trace the teaching signalsrapidly and accurately, although the PZT cutter feed mechanism hascharacteristics of nonlinearity and hysteresis