Model-Based Robust Tracking Control Without Observers for Soft Bending Actuators

被引:16
|
作者
Cao, Guizhou [1 ]
Huo, Benyan [1 ]
Yang, Lei [1 ]
Zhang, Fangfang [1 ]
Liu, Yanhong [1 ]
Bian, Guibin [1 ,2 ]
机构
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
关键词
Actuators; Observers; Bending; Uncertainty; Closed loop systems; Presence network agents; Mathematical model; Robust control; soft actuator; without observer; model-based control; JOINT ROBOTS; DESIGN; CURVATURE; SYSTEMS;
D O I
10.1109/LRA.2021.3071952
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
It is of great importance to improve the performance of soft bending actuators with simpler control laws. Considering that the velocity information of soft actuators cannot be measured by conventional sensors due to a contradiction between the soft body and the rigid state, this letter addresses a robust tracking controller without velocity observers to improve the tracking accuracy and simplify the control laws. First, a generalized dynamic model and related system properties are developed for the construction of controllers. Second, a novel robust tracking controller combined with an auxiliary state is utilized for soft bending actuators in the presence of system uncertainties. A key feature of the proposed controller is that it does not incorporate any information about velocities and observers. Finally, corresponding comparative simulations and experiments are performed to verify the effectiveness of the proposed controller.
引用
收藏
页码:5175 / 5182
页数:8
相关论文
共 50 条
  • [31] LPV Model-Based Tracking Control and Robust Sensor Fault Diagnosis for a Quadrotor UAV
    Ronay Lopez-Estrada, Francisco
    Ponsart, Jean-Christophe
    Theilliol, Didier
    Zhang, Youmin
    Astorga-Zaragoza, Carlos-Manuel
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2016, 84 (1-4) : 163 - 177
  • [32] Robust Tracking Control for Electrohydraulic System Using an Internal Model-Based Sliding Surface
    Sun, Hao
    Sun, Zongxuan
    Li, Shihua
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2022, 144 (06):
  • [33] LPV Model-Based Tracking Control and Robust Sensor Fault Diagnosis for a Quadrotor UAV
    Francisco Ronay López-Estrada
    Jean-Christophe Ponsart
    Didier Theilliol
    Youmin Zhang
    Carlos-Manuel Astorga-Zaragoza
    [J]. Journal of Intelligent & Robotic Systems, 2016, 84 : 163 - 177
  • [34] Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
    Kayacan, Erkan
    Ramon, Herman
    Saeys, Wouter
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (02) : 806 - 814
  • [35] Model-Based Robust Tracking Attitude and Altitude Control of an Uncertain Quadrotor Under Disturbances
    Hassani, Hamid
    Mansouri, Anass
    Ahaitouf, Ali
    [J]. INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2024, : 1464 - 1478
  • [36] Hysteresis-Observer Based Robust Tracking Control of Piezoelectric Actuators
    Sofla, Mohammad Sheikh
    Rezaei, Seyed Mehdi
    Zareinejad, Mohammad
    Saadat, Mozafar
    [J]. 2010 AMERICAN CONTROL CONFERENCE, 2010, : 4187 - 4192
  • [37] Modelling and robust control of a soft robot based on conjugated polymer actuators
    Moghadam, Amir Ali Amiri
    Moavenian, Majid
    Toussi, Hamid Ekhteraee
    [J]. INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2011, 14 (03) : 216 - 226
  • [38] Model-Based Nonlinear Feedback Controllers for Pressure Control of Soft Pneumatic Actuators Using On/Off Valves
    Xavier, Matheus S.
    Fleming, Andrew J.
    Yong, Yuen K.
    [J]. FRONTIERS IN ROBOTICS AND AI, 2022, 9
  • [39] Model-Based Control of Electromagnetic Valve Actuators for Engine Speed Control
    Chen, Huitao
    Chang, Siqin
    Fan, Aimin
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2019, 20 (01) : 127 - 135
  • [40] Model-Based Control of Electromagnetic Valve Actuators for Engine Speed Control
    Huitao Chen
    Siqin Chang
    Aimin Fan
    [J]. International Journal of Automotive Technology, 2019, 20 : 127 - 135