Research on nonlinear control strategy of valve-controlled cylinder system based on improved LuGre friction model

被引：0
|
作者：
Gao B. [1 ,2 ]
Shen W. [1 ,2 ]
Dai Y. [1 ,2 ]
Guan H. [1 ,2 ]
机构：
[1] Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin
[2] School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 11期
关键词：
active disturbance rejection; compensation; friction; fuzzy self-adaptation; identification;
D O I：
10.13465/j.cnki.jvs.2023.11.017
中图分类号：
学科分类号：
摘要：
Aiming at the control problem of an electro-hydraulic servo system with high nonlinearity, a friction model suitable for the servo system is proposed. The parameters of the established friction model are identified by the genetic algorithm, and an accurate mathematical model of friction torque is obtained, which is added to the nonlinear control as a feedforward compensation to reduce the influence of friction nonlinearity on the electro-hydraulic servo system. To solve the chattering phenomenon that is easy to occur in the commutation process of the servo system, a fuzzy variable coefficient active disturbance rejection controller based on friction model feedforward compensation is designed. Based on the quasi-hyperbolic sine function, the state error feedback control part is devised to smooth the output jitter at the switching point. On this basis, combined with the fuzzy adaptive control method, the nonlinear state feedback coefficient is adjusted by error and error differential. The research shows that the above control strategy can effectively improve the response speed, convergence speed, stability, and robustness of the system, and reduce the influence of over-compensation and under-compensation on friction. It has a good inhibitory effect on the commutation of the servo system and the chattering at the zero point of the speed. © 2023 Chinese Vibration Engineering Society. All rights reserved.
引用
收藏
页码：139 / 155
页数：16
相关论文
共 15 条
  • [1] Peng B, Bergs T, Schraknepper D, Et al., Development and validation of a new friction model for cutting processes, The International Journal of Advanced Manufacturing Technology, 107, 11, pp. 4357-4369, (2020)
  • [2] Lee C Y, Hwang S H, Nam E, Et al., Identification of mass and sliding friction parameters of machine tool feed drive using recursive least squares method, The International Journal of Advanced Manufacturing Technology, 109, 9, pp. 2831-2844, (2020)
  • [3] Tasora A, Anitescu M., A complementarity-based rolling friction model for rigid contacts, Meccanica, 48, 7, pp. 1643-1659, (2013)
  • [4] Zhang C, Lu J, Zhang F, Et al., Identification of a new friction model at tool-chip interface in dry orthogonal cutting, The International Journal of Advanced Manufacturing Technology, 89, 1, pp. 921-932, (2017)
  • [5] Farrage A, Uchiyama N., Improvement of motion accuracy and energy consumption of a mechanical feed drive system using a Fourier series-based nonlinear friction model, The International Journal of Advanced Manufacturing Technology, 99, 5, pp. 1203-1214, (2018)
  • [6] Lu Y, Zhang J, Yang S, Et al., Study on improvement of LuGre dynamical model and its application in vehicle handling dynamics, Journal of Mechanical Science and Technology, 33, 2, pp. 545-558, (2019)
  • [7] LI Wenli, LU Yu, GUO Dong, Et al., Mechanical resonance analysis and suppression method of multi-inertia servo system considering time-varying meshing stiffness, Journal of vibration and shock, 40, 19, pp. 164-171, (2021)
  • [8] ZHAO Zhen, WANG Bi, CHEN Guoping, Sliding mode servo control of a large flexible solar cell wing driving device, Journal of vibration and shock, 39, pp. 211-218, (2020)
  • [9] Cong S, Deng K, Shang W, Et al., Isolation control for inertially stabilized platform based on nonlinear friction compensation, Nonlinear Dynamics, 84, 3, pp. 1123-1133, (2016)
  • [10] Yue F, Li X., Adaptive sliding mode control based on friction compensation for opto-electronic tracking system using neural network approximations, Nonlinear Dynamics, 96, 4, pp. 2601-2612, (2019)
12