Adaptive Notch Filter Control for the Torsion Vibration in Lead-Screw Feed Drive System Based on Neural Network

Authors:
Yong Zhou;Fangyu Peng;Bin Li
Affiliations:
School of Logistics Engineering, Wuhan University of Technology, Wuhan, China 430063 and National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, China ...;National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, China 430074;National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Year:
2008

Citing 0
Cited 1

Neural fixed-parameter active noise controller for variable frequency tonal noise

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the machining process, the nature vibration characteristics of feed drive frames are in time-varying. The nature frequencies of the torsion vibration in the lead-screw feed drives are notably changed with the table position, which further influences the stability of servo control. Building the model of servo drive system under consideration of torsion vibration of rotor-screw system, this paper analyzes the effect of changing torsion vibration modes on the notch filter control. The results display that the compensation using the conventional notch filter cannot suppress those disturbances induced by the time-varying vibration modes. Therefore, an adaptive notch filter control method is presented based on an improved BP neural network in this paper. A case study demonstrates that the parameters of the notch filter can be adjusted rightly according to the different table position. Consequently, the torsion vibration modes are compensated efficiently for the time-varying table positions.