PRESSURE ESTIMATION-BASED ROBUST FORCE CONTROL OF PNEUMATIC ACTUATORS

被引:7
|
作者
Driver, Tad [1 ]
Shen, Xiangrong [1 ]
机构
[1] Univ Alabama, Dept Mech Engn, 290 Hardaway Hall,Box 870276, Tuscaloosa, AL 35487 USA
关键词
pneumatics; pneumatic control; pressure estimation; robust control;
D O I
10.1080/14399776.2013.10781067
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Pneumatic actuators enjoy a number of unique advantages, such as high power density and low cost, in comparison with the widely used electromagnetic actuators. In this paper, a new force control approach is presented for pneumatic actuation systems, with the objective of providing robust control performance while eliminating the need for pressure sensors to reduce the cost and complexity of the system. To achieve this goal, a unique pressure estimation algorithm is developed to provide the required chamber pressure information. This pressure estimation algorithm is formulated according to two simultaneous conditions, established based on the measured actuation force and the average air pressure in the actuator. Utilizing these conditions, the chamber pressures can be calculated through simple algebraic equations instead of complex pressure observers. For the force controller design, the dynamic model of the entire system is developed, and the standard sliding mode control approach is applied to obtain a robust control law. In the experiments, the hypothesis of constant average pressure was verified. Also, the pressure estimation algorithm and the corresponding robust control approach were implemented, and the effectiveness demonstrated by the sinusoidal and square- wave force tracking.
引用
收藏
页码:37 / 45
页数:9
相关论文
共 50 条
  • [31] Environmental Robust Position Control for Compact Solenoid Actuators by Sensorless Simultaneous Estimation of Position and Force
    Nagai, Sakahisa
    Nozaki, Takahiro
    Kawamura, Atsuo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (08) : 5078 - 5086
  • [32] State estimation-based control of a coal gasifier
    Wilson, JA
    Chew, M
    Jones, WE
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2006, 153 (03): : 268 - 276
  • [33] Robust estimation-based multipath detection for vector tracking loop
    Zou, Xiaojun
    Kong, Yao
    IET RADAR SONAR AND NAVIGATION, 2023, 17 (06): : 1002 - 1016
  • [34] An Extended Kalman Filter State Estimation-Based Robust MRAC for Welding Robot Motor Control
    Dias de Oliveira Evald, Paulo Jefferson
    Mor, Jusoan Lang
    Silva da Rosa, Romulo Thiago
    Azzolin, Rodrigo Zelir
    de Oliveira, Vincius Menezes
    da Costa Botelho, Silvia Silva
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 2967 - 2972
  • [35] Interval state estimation-based robust model predictive control for linear parameter varying systems
    Ping, Xubin
    Yang, Sen
    Xiao, Yingying
    Ding, Baocang
    Li, Zhiwu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (15) : 7026 - 7052
  • [36] Enhancing produce safety: State estimation-based robust adaptive control of a produce wash system
    Azimi, Vahid
    Munther, Daniel
    Sharifi, Mojtaba
    Vela, Patricio A.
    JOURNAL OF PROCESS CONTROL, 2020, 86 : 1 - 15
  • [37] Disturbance Estimation-Based Robust Model Predictive Position Tracking Control for Magnetic Levitation System
    Wang, Junxiao
    Chen, Linjie
    Xu, Qingsong
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (01) : 81 - 92
  • [38] EMOTIONAL LEARNING BASED POSITION CONTROL OF PNEUMATIC ACTUATORS
    Garmsiri, Naghmeh
    Sepehri, Nariman
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2014, 20 (03): : 433 - 450
  • [39] On the estimation of on-off valve parameters for control of programmable pneumatic actuators
    Wang, HB
    Mo, JPT
    Chen, N
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 1998, 20 (05) : 211 - 220
  • [40] ADAPTIVE ROBUST CONTROL FOR HYDRAULIC ACTUATORS WITH DISTURBANCE ESTIMATION
    Xu, Z. B.
    Yao, J. Y.
    Dong, Z. L.
    Zheng, Y.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2015, VOL 4B, 2016,