Title :
Neuron net control and its application in precision feed mechanism of machine tools driven by PZT
Author :
Zhaoquan, Lu ; Daojiong, Chen ; Huifang, Kong ; Wang Guornei ; Fen, Xie ; Jingwei, Wang
Author_Institution :
Dept. of Electr. Eng., Anhui Inst. of Technol., Hefei, China
Abstract :
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
Keywords :
cutting; lead compounds; learning systems; machine tools; neurocontrollers; perceptrons; piezoceramics; tracking; cutter; feed mechanism; hysteresis; learning algorithm; machine tools; neural net control; nonlinear systems; nonlinearity; piezoelectric ceramics; precision; Ceramics; Control system synthesis; Education; Feeds; Hysteresis; Integrated circuit modeling; Machine learning; Machine tools; Mathematical model; Neurons;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601545
