Noise estimation and filter design for warp tension control on rapier looms

In order to obtain the more exact detected signal of warp tension and improve the control performance of a rapier loom,this paper provided a classified noise signal processing principle based on the analysis of the noise source and characteristics during controlling the warp tension on the rapier loom.For suppressing high-frequency noise and random noise,an simulative low-pass filer′s design method is analyzed based on defining the degree of difficult control.As to the periodical low frequency vibration noise,a frequency spectrum method is utilized to determine the period and a coherent average method is used to catch the noise signal.The periodical low frequency vibration noise is estimated and a compensation design is performed for enhancing the control performance.The effectiveness of the design is verified using MatLab and Simulink simulation.This research work provides a reference for the design of filter and controller on the rapier loom for warp tension control.