Combined Design of Adaptive Sliding Mode Control and Disturbance Observer with Friction Compensation for a Feed Drive System

被引:0
|
作者
Farrage, Abdallah [1 ,2 ]
Uchiyama, Naoki [1 ]
机构
[1] Toyohashi Univ Technol, Dept Mech Engn, Toyohashi, Aichi 4418580, Japan
[2] Assiut Univ, Fac Engn, Dept Mech Engn, Assiut 71515, Egypt
关键词
PRECISION CONTROL; MACHINE-TOOL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mechanical friction and disturbance are the key issues in precision control of mechanical systems especially in computer numerical controlled (CNC) feed drives. The friction does not only deteriorate the motion accuracy but also increases consumed energy of machining process. Feed drives have diverse applications and operate for a long time over the world, and therefore energy saving is highly expected. This paper proposes a combined design of adaptive sliding mode control and disturbance observer with a nonlinear static friction compensation to improve the motion accuracy and save consumed energy of a biaxial feed drive system. The friction compensator is designed based on a nonlinear friction model. Contour error, which is defined as the shortest distance between the actual position and the reference trajectory, is more important on the machining accuracy than the tracking error in each axis, and therefore contouring controllers are designed by feeding back contour errors. The disturbance observer and friction compensator are integrated into sliding mode contouring control and adaptive sliding mode contouring control. In order to verify the effectiveness of the combined design, comparative experiment was carried out with a biaxial feed drive system. The proposed approach effectively improved the contouring performance and achieved a significant reduction of the consumed energy.
引用
收藏
页码:753 / 758
页数:6
相关论文
共 50 条
  • [21] Disturbance observer-based nonlinear friction compensation in table drive system
    Iwasaki, M
    Shibata, T
    Matsui, N
    [J]. 1998 5TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL - PROCEEDINGS: AMC '98 - COIMBRA, 1998, : 299 - 304
  • [22] Extended State Observer Based Sliding Mode Control for Mechanical Servo System with Friction Compensation
    Li, Chenhang
    Chen, Qiang
    [J]. PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL 1, 2016, 359 : 105 - 114
  • [23] An Adaptive Load Frequency Control Based on Sliding Mode Control and Disturbance Observer
    Zhang, Boming
    Chau, Tat Kei
    Iu, Herbert
    McCormick, Paul
    [J]. 2022 IEEE SUSTAINABLE POWER AND ENERGY CONFERENCE (ISPEC), 2022,
  • [24] Adaptive Backstepping Sliding Mode Control for ABS with Nonlinear Disturbance Observer
    Adiguzel, Fatih
    Mumcu, Tarik Veli
    [J]. ELECTRICA, 2021, 21 (01): : 121 - 128
  • [25] The control system design for ASV via discrete sliding mode control based on disturbance observer
    Tong Chunxia
    [J]. 2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2, 2006, : 758 - 762
  • [26] Backstepping sliding mode control for combined spacecraft with nonlinear disturbance observer
    Gao, Han
    Lv, Yueyong
    Ma, Guangfu
    Li, Chuanjiang
    [J]. 2016 UKACC 11TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2016,
  • [27] Friction compensation control of a feed drive system operated in a vacuum
    Wontaek Song
    Jaeyoon Shim
    Namhyun Kim
    Geun Byeong Chae
    Wonkyun Lee
    [J]. Journal of Mechanical Science and Technology, 2019, 33 : 5353 - 5360
  • [28] Friction compensation control of a feed drive system operated in a vacuum
    Song, Wontaek
    Shim, Jaeyoon
    Kim, Namhyun
    Chae, Geun Byeong
    Lee, Wonkyun
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2019, 33 (11) : 5353 - 5360
  • [29] Sliding Mode Control based on Disturbance Observer for Servo System
    Wang Wu
    Bai Zheng-Min
    [J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, : 26 - 29
  • [30] Composite Sliding Mode Control for TPMM Velocity Drive via a Disturbance Observer
    Zhou, Huawei
    Chen, Cheng
    Liu, Guohai
    Zhang, Yecheng
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (01) : 82 - 94