Friction compensation for low velocity control of hydraulic flight motion simulator: A simple adaptive robust approach

被引:0
|
作者
机构
[1] Yao, Jianyong
[2] Jiao, Zongxia
[3] Han, Songshan
来源
Yao, J. (jerryyao.buaa@gmail.com) | 1600年 / Chinese Journal of Aeronautics卷 / 26期
关键词
Low-velocity tracking capability is a key performance of flight motion simulator (FMS); which is mainly affected by the nonlinear friction force. Though many compensation schemes with ad hoc friction models have been proposed; this paper deals with low-velocity control without friction model; since it is easy to be implemented in practice. Firstly; a nonlinear model of the FMS middle frame; which is driven by a hydraulic rotary actuator; is built. Noting that in the low velocity region; the unmodeled friction force is mainly characterized by a changing-slowly part; thus a simple adaptive law can be employed to learn this changing-slowly part and compensate it. To guarantee the boundedness of adaptation process; a discontinuous projection is utilized and then a robust scheme is proposed. The controller achieves a prescribed output tracking transient performance and final tracking accuracy in general while obtaining asymptotic output tracking in the absence of modeling errors. In addition; a saturated projection adaptive scheme is proposed to improve the globally learning capability when the velocity becomes large; which might make the previous proposed projection-based adaptive law be unstable. Theoretical and extensive experimental results are obtained to verify the high-performance nature of the proposed adaptive robust control strategy. © 2013 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA;
D O I
暂无
中图分类号
学科分类号
摘要
Journal article (JA)
引用
收藏
相关论文
共 50 条
  • [21] Robust control of uncertain robotic systems:An adaptive friction compensation approach
    WANG QiShao
    ZHUANG Han
    DUAN ZhiSheng
    WANG QingYun
    Science China(Technological Sciences), 2021, 64 (06) : 1228 - 1237
  • [22] Robust control of uncertain robotic systems:An adaptive friction compensation approach
    WANG QiShao
    ZHUANG Han
    DUAN ZhiSheng
    WANG QingYun
    Science China(Technological Sciences) , 2021, (06) : 1228 - 1237
  • [23] Robust control of uncertain robotic systems: An adaptive friction compensation approach
    QiShao Wang
    Han Zhuang
    ZhiSheng Duan
    QingYun Wang
    Science China Technological Sciences, 2021, 64 : 1228 - 1237
  • [24] Robust control of uncertain robotic systems: An adaptive friction compensation approach
    Wang, QiShao
    Zhuang, Han
    Duan, ZhiSheng
    Wang, QingYun
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2021, 64 (06) : 1228 - 1237
  • [25] Friction Compensation based Acceleration Feedback Control for Flight Simulator
    Shen, Dongkai
    Liu, Zhenghua
    Liu, Shizhang
    MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 : 1702 - +
  • [26] Output feedback adaptive robust control of hydraulic actuator with friction and model uncertainty compensation
    Li, Xudong
    Yao, Jianyong
    Zhou, Changsheng
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (13): : 5328 - 5349
  • [27] A Robust Adaptive Control Strategy for Electro-hydraulic Servo Based on Friction Compensation
    Yue L.
    Wang Z.
    Huang H.
    Rao J.
    Zhu X.
    Zhang X.
    Zhang B.
    Recent Patents on Mechanical Engineering, 2023, 16 (05) : 321 - 334
  • [28] Robust adaptive control of high precision flight simulator
    Automatic Control Department, Beijing Univ. of Aero./Astronautics, Beijing 100083, China
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2001, 23 (10): : 35 - 38
  • [29] Adaptive robust disturbance rejection backstepping control of a novel friction electro-hydraulic load simulator
    Jing, Chenghu
    Zhang, Hui
    Hui, Yanbo
    Zhang, Lianpeng
    Xu, Hongguang
    AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (12)
  • [30] Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator
    YAO Jianyonga
    Chinese Journal of Aeronautics , 2012, (05) : 766 - 775