吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 392-397.doi: 10.13229/j.cnki.jdxbgxb201402018

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Optimization of the electro-hydraulic servo loading based on least square and SVDUKF algorithms

YANG Zhao-jun, YANG Chuan-gui, CHEN Fei, WANG Dong-liang, MA Shuai, LIU Bo   

  1. Key Laboratory of CNC Equipment Reliability Technique of Machinery Industry, Jilin University, Changchun 130022, China
  • Received:2013-01-31 Online:2014-02-01 Published:2014-02-01

Abstract:

In order to analyze and simulate the dynamic characteristics of the electro-hydraulic servo loading system of the servo turret reliability test bench, a dynamic characteristics model of the electro-hydraulic servo loading system was established. The parameters of the dynamic model were estimated by the least square algorithm. For avoiding the system from the noise and preventing the Unscented Kalman Filter (UKF) algorithm from the ill-conditioned covariance matrix, a SVDUKF algorithm was proposed to smooth the force feedback signal of the hydraulic servo loading system. The filtering performances of the SVDUKF algorithm and the EKF algorithm were compared by experiments. The results show that the dynamic model with parameters estimated by the least squares algorithm has high precision; and the filtering performance of the SVDUKF algorithm has high-efficiency, which can improve the stability of the system.

Key words: machine tool technology, stability, least squares algorithm, SVDUKF algorithm

CLC Number: 

  • TG659

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