Adaptive Backstepping Control of Vacuum Servo System Using High-Speed on-off Valves

被引:10
|
作者
Yang, Gang [1 ]
Jiang, Peng [1 ]
Lei, Lei [1 ]
Wu, Yong [2 ]
Du, Jingmin [1 ]
Li, Baoren [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China
[2] Wuhan Second Ship Design & Res Inst, Wuhan 430025, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive backstepping control; high-speed on-off valves; pulse width modulation; vacuum servo system; ROBUST-CONTROL; NONLINEAR-SYSTEMS; PRESSURE;
D O I
10.1109/ACCESS.2020.3007208
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Using high-speed on-off valves (HSVs) with small size, low cost, and high switching accuracy instead of expensive proportional/servo valves, and researching high-performance vacuum servo system can further enhance the competitiveness of vacuum servo technology. However, due to the delay characteristics of high-speed on-off valve (HSV), the average gas mass flow rate of the output has dead zone, saturated zone and nonlinear zone. A linear compensation method for flow output is designed, so that the average gas mass flow rate of the output is approximately positively correlated with the duty cycle of the pulse width modulation (PWM) signal. Furthermore, because of the air compression and the leakage of the system, there exist parametric uncertainties, unmodeled dynamics and disturbances in the vacuum servo system. An adaptive backstepping control (ABC) strategy based on discontinuous projection mapping is designed. The adaptive backstepping control strategy inhibit the influence of system's parametric uncertainties through on-line update of the uncertain parameters, and uses its own robustness to eliminate the effects of unmodeled dynamics and disturbances. Compared with the sliding mode control (SMC) strategy, the experimental results show that when the tracking frequency reaches 3-4Hz, the adaptive backstepping control strategy can ensure good tracking performance.
引用
收藏
页码:129799 / 129812
页数:14
相关论文
共 50 条
  • [41] Adaptive force control in high-speed machining by using a system of neural networks
    Zuperl, Uros
    Kiker, Edvard
    Jezernik, Karel
    2006 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-7, 2006, : 148 - +
  • [42] Adaptive Backstepping Slide Mode Control of Pneumatic Position Servo System
    REN Haipeng
    FAN Juntao
    Chinese Journal of Mechanical Engineering, 2016, (05) : 1003 - 1009
  • [43] Adaptive backstepping control method used in DGMSCMG gimbal servo system
    Li H.
    Yan B.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2016, 42 (04): : 703 - 710
  • [44] Adaptive Backstepping Slide Mode Control of Pneumatic Position Servo System
    REN Haipeng
    FAN Juntao
    Chinese Journal of Mechanical Engineering, 2016, 29 (05) : 1003 - 1009
  • [45] Adaptive backstepping slide mode control of pneumatic position servo system
    Haipeng Ren
    Juntao Fan
    Chinese Journal of Mechanical Engineering, 2016, 29 : 1003 - 1009
  • [46] The Backstepping Adaptive Sliding Mode Control for the Flight Simulator Servo System
    Liu Hui-Bo
    Zhou Hai-Jing
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 2533 - 2538
  • [47] Adaptive Backstepping Slide Mode Control of Pneumatic Position Servo System
    Ren Haipeng
    Fan Juntao
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2016, 29 (05) : 1003 - 1009
  • [48] Indirect Adaptive Control of an Electrohydraulic Servo System Based on Nonlinear Backstepping
    Kaddissi, Claude
    Kenne, Jean-Pierre
    Saad, Maarouf
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2011, 16 (06) : 1171 - 1177
  • [49] Switched backstepping control of an electropneumatic clutch actuator using on/off valves
    Sande, Hege
    Johansen, Tor Arne
    Kaasa, Glenn-Ole
    Snare, Sten Roar
    Bratli, Christian
    2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, 2007, : 2856 - +
  • [50] Adaptive inverse optimal backstepping control strategy for longitudinal vibration of high-speed elevator system based on fuzzy observer
    Qiu, Tian
    Zhang, Ruijun
    Li, Li
    He, Qin
    Liu, Lixin
    JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (1-2) : 295 - 313