Modeling and force control of thin soft McKibben actuator

被引:0
|
作者
Faudzi A.A.M. [1 ,3 ]
Mat Lazim N.H.I. [2 ]
Suzumori K. [3 ]
机构
[1] Center for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Johor Bahru, 81310, Johor
[2] Universiti Sains Islam Malaysia, Nilai, 71800, Negeri Sembilan
[3] Department of Mechanical and Aerospace Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, 152-8552, Tokyo
关键词
ARX model; Force control; PID-PSO; System identification; Thin soft actuator;
D O I
10.20965/ijat.2016.p0487
中图分类号
学科分类号
摘要
This paper presents the modeling of a thin soft McKibben actuator using the system identification (SI) method and its force control. Procedures from the system identification method are used to create a mathematical model (transfer function) from the test data. The autoregressive with exogenous input (ARX)model was chosen as the model structure of the system. Next, a PSO-PID controller was proposed for the force control of the actuator. The simulation data were verified against the test data for the force control using PSOPID and conventional PID. Results showed that the developed model represents the actual system by giving the same characteristics in the force control analysis in step, multi-step, and sinusoidal input. © 2016, Fuji Technology Press. All rights reseved.
引用
收藏
页码:487 / 493
页数:6
相关论文
共 50 条
  • [31] Control of an actuator made of two antagonist McKibben muscles via LMI optimization
    Jutras, Dominic
    Bigras, Pascal
    2006 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-7, 2006, : 3072 - +
  • [32] FORCE CONTROL METHOD OF SOFT ACTUATOR USING MULTIPLE SUPER ELASTIC ALLOY WIRES
    Aizawa, Shun
    Nozawa, Taichi
    Sakuma, Atsushi
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2017, VOL 9, 2018,
  • [33] Improving Soft Pneumatic Actuator Fingers through Integration of Soft Sensors, Position and Force Control, and Rigid Fingernails
    Morrow, John
    Shin, Hee-Sup
    Phillips-Grafflin, Calder
    Jang, Sung-Hwan
    Torrey, Jacob
    Larkins, Riley
    Dang, Steven
    Park, Yong-Lae
    Berenson, Dmitry
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 5024 - 5031
  • [34] Segmentation of a Soft Body and its Bending Performance using Thin McKibben Muscle
    Mohamed, Mohd Firdaus
    Hanif, Asyikin Sasha Mohd
    Faudzi, Ahmad Athif
    INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2020, 17 (01) : 7533 - 7541
  • [35] Active vibration control of a blade element with uncertainty modeling in PZT actuator force
    Sivrioglu, Selim
    Bolat, Fevzi Cakmak
    Erturk, Ercan
    JOURNAL OF VIBRATION AND CONTROL, 2019, 25 (21-22) : 2721 - 2732
  • [36] Shape and Force Sensing of A Soft SMA Planar Actuator for Soft Robots
    Ouyang, Yiming
    Jin, Hu
    Chen, Haoyao
    Kong, Jingwen
    Li, Weihua
    Zhang, Shiwu
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE-ROBIO 2021), 2021, : 852 - 857
  • [37] A reference augmentation design for the adaptive control of a wearable assist robot powered by the McKibben actuator
    Jitosho, Hisao
    Fujii, Fumitake
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1099 - 1104
  • [38] Modelling a dielectric elastomer actuator based on the McKibben muscle
    McKay, Thomas G.
    Calius, Emilio
    Anderson, Iain
    ELECTROACTIVE POLYMER ACTUATORS AND DEVICES (EAPAD) 2007, 2007, 6524
  • [39] Modular force approximating soft robotic pneumatic actuator
    Taylor, Austin J.
    Montayre, Rudy
    Zhao, Zhuo
    Kwok, Ka Wai
    Tse, Zion Tsz Ho
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018, 13 (11) : 1819 - 1827
  • [40] Soft Pneumatic Actuator Fascicles for High Force and Reliability
    Robertson, Matthew A.
    Sadeghi, Hamed
    Florez, Juan Manuel
    Paik, Jamie
    SOFT ROBOTICS, 2017, 4 (01) : 23 - 32