• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2001, Vol. 37 ›› Issue (6): 102-105.

• Article • Previous Articles     Next Articles

SIMULATIVE STUDY ON ELIMINATING OF SELF-EXCITED OSCILLATION IN TURNING PROCESS VIA NEURAL NETWORK CONTROL TECHNOLOGY

Wang Xinqing;Wang Yaohua;Yan Jun   

  1. PLA University of Science and Technology
  • Published:2001-06-15

Abstract: Self-excited oscillation in turning process is a kind of unstable phenomenon resulting from former vibration trace. Eliminating of the phenomenon is a key technology in cutting process. Back propagation neural network (BP network) is introduced to control behaviors of nonlinear or unstable system. According to neural network control technology a new technology for the elimination of self-excited oscillation in turning process is put forward. Numerical simulation examples show that such technology plays special roles in the eliminating of self-excited oscillation and the control of turning stability.

Key words: Neural network, Regenerative chatter, Self-excited oscillation

CLC Number: