Adaptive filtering method for displacement fluctuation characteristics of ball screw feed system

QUAN Li, YANG Xiao-jun, ZHAO Wan-hua

(School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China)

Abstract: Aiming at the problems of the displacement fluctuation of the feed system on the machining accuracy and machining quality, the adaptive filtering technology was applied to the motion control field of the ball screw feed system.The minimum mean square error criterion was adopted, and the reference signal vector was selected according to the error source, the order of the adaptive filter was determined. The weight coefficients of the reference signal vector were iterated solving to adaptively adjust the filter output, an adaptive filtering algorithm was established based on multi-dimensional reference signals. The algorithm was verified by an open servo experimental platform. The results indicate that the adaptive filtering algorithm can effectively suppress multi-frequency displacement fluctuations. The harmonic amplitude is suppressed by 50%-70% under the action of the algorithm. The adaptive filtering algorithm has good harmonics suppression effect under different feed speeds and different load moments. The adaptive filtering algorithm can effectively improve the smoothness of the ball screw feed system.

Key words: ball screw; servo system; displacement fluctuation; adaptive filter