Proportional-integral based fuzzy sliding mode control of the milling head

被引:12
作者
Zhao, Pengbing [1 ]
Shi, Yaoyao [2 ]
Huang, Jin [1 ]
机构
[1] Xidian Univ, Key Lab Elect Equipment Struct Design, Minist Educ, Xian 710071, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
A-axis; Positioning control; Parameters adaptation; Sliding mode control; Proportional-integral control; MAGNET SYNCHRONOUS MOTOR; NEURAL-NETWORK; ADAPTIVE-CONTROL; REACHING LAW; A-AXIS; SYSTEMS; MACHINE; UNCERTAINTIES; COMPENSATION; PERFORMANCE;
D O I
10.1016/j.conengprac.2016.04.012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A-axis (that is, the milling head) is an essential assembly in the five-axis CNC machine tools, positioning precision of which directly affects the machining accuracy and surface qualities of the processed parts. Considering the influence of nonlinear friction and uncertain cutting force on the control precision of the A-axis, a novel fuzzy sliding mode control (FSMC) based on the proportional-integral (PI) control is designed according to the parameters adaptation. Main idea of the control scheme is employing the fuzzy systems to approximate the unknown nonlinear functions and adopting the PI control to eliminate the input chattering. Simulation analyses and experimental results illustrate that the designed control strategy is robust to the uncertain load and the parameters perturbation. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 34 条
  • [1] Identification and compensation of geometric errors of rotary axes on five-axis machine by on-machine measurement
    Bi, Qingzhen
    Huang, Nuodi
    Sun, Chao
    Wang, Yuhan
    Zhu, Limin
    Ding, Han
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2015, 89 : 182 - 191
  • [2] Boiko Igor M., 2013, INT J SYST SCI, V44, P1
  • [3] Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism
    Cerman, Otto
    Husek, Petr
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (11) : 10269 - 10277
  • [4] A generalized reaching law for discrete time sliding mode control
    Chakrabarty, Sohom
    Bandyopadhyay, Bijnan
    [J]. AUTOMATICA, 2015, 52 : 83 - 86
  • [5] Sliding-Mode Control With Double Boundary Layer for Robust Compensation of Payload Mass and Friction in Linear Motors
    Cupertino, Francesco
    Naso, David
    Mininno, Ernesto
    Turchiano, Biagio
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2009, 45 (05) : 1688 - 1696
  • [6] Adaptive backstepping sliding mode control of flexible ball screw drives with time-varying parametric uncertainties and disturbances
    Dong, Liang
    Tang, Wen Cheng
    [J]. ISA TRANSACTIONS, 2014, 53 (01) : 110 - 116
  • [7] Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive
    El-Sousy, Fayez F. M.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (04) : 1922 - 1936
  • [8] Adaptive control of MEMS gyroscope using global fast terminal sliding mode control and fuzzy-neural-network
    Fei, Juntao
    Yan, Weifeng
    [J]. NONLINEAR DYNAMICS, 2014, 78 (01) : 103 - 116
  • [9] Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator
    Fei, Juntao
    Zhou, Jian
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (06): : 1599 - 1607
  • [10] Adaptive sliding mode control of dynamic system using RBF neural network
    Fei, Juntao
    Ding, Hongfei
    [J]. NONLINEAR DYNAMICS, 2012, 70 (02) : 1563 - 1573