Control Strategy for a Developed Robotic Spine Exoskeleton

被引:0
|
作者
Farhadiyadkuri, Farhad [1 ]
Strom, Lars, V [1 ]
Villadsen, Jesper B. [1 ]
Hansen, Ole H. [1 ]
Sandborg, Nicolai S. [1 ]
Holm, Mikkel L. [1 ]
Zhang, Xuping [1 ]
机构
[1] Aarhus Univ, Dept Engn Robot, DK-8000 Aarhus C, Denmark
关键词
ADAPTIVE-CONTROL;
D O I
10.1109/icarm49381.2020.9195376
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Adolescent Idiopathic Scoliosis, called AIS, estimated to affect up to 4% of adolescents, is the biggest problem among the orthopedic profession. It is an abnormal side-to-side curvature of the spine which occurs between the age of 10 and skeletal maturity without any known reason. Bracing as a common treatment of AIS does not adopt to skeletal changes during the treatment because of its sensor-less design and the lack of control on corrections provided by the brace. Its static design may also affect the patient's safety and convenience. Robotic spine exoskeleton can reduce the problem by restoring the balance of forces along the spine using the measurements received from sensors installed on the robot. In this paper, an in-house developed robotic exoskeleton with one Stewart-Gough Platform (SGP) is designed, and an impedance control strategy is proposed to implement the interaction between the robot and the patient in order to make the exoskeleton more safe and convenient for the patient to use. Besides, an Adaptive Inverse Dynamic Controller (AIDC) is proposed to improve the trajectory tracking of the exoskeleton in the presence of large modeling errors due to uncertain dynamics. Numerical simulations and the validating experimental results are conducted to demonstrate the performance of impedance control in terms of interaction control. In addition, the proper trajectory tracking is verified through the numerical simulations of the proposed AIDC controller.
引用
收藏
页码:546 / 551
页数:6
相关论文
共 50 条
  • [21] Control approaches for robotic knee exoskeleton and their effects on human motion
    Petric, Tadej
    Gams, Andrej
    Debevec, Tadej
    Zlajpah, Leon
    Babic, Jan
    ADVANCED ROBOTICS, 2013, 27 (13) : 993 - 1002
  • [22] Upper Limb Exoskeleton Design and Implementation to Control a Robotic Arm
    Morales U, Marlon
    Mosquera C, Guillermo
    Sanchez M, Miguel
    Chamorro H, William
    2017 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER SCIENCE (INCISCOS), 2017, : 73 - 78
  • [23] Admittance Control of a Robotic Exoskeleton for Physical Human Robot Interaction
    Huang, Bo
    Ye, Zhifeng
    Li, Zhijun
    Yuan, Wang
    Yang, Chenguang
    2017 2ND INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM), 2017, : 245 - 250
  • [24] Adaptive Neural Network Control for a Robotic Exoskeleton with Unknown Deadzone
    Huang, Bo
    He, Wei
    Li, Zhijun
    IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM), 2016, : 370 - 375
  • [25] Virtual Neuromuscular Control for Robotic Ankle Exoskeleton Standing Balance
    Yin, Kaiyang
    Jin, Yantao
    Du, Haojie
    Xue, Yaxu
    Li, Pengfei
    Ma, Zhengsen
    MACHINES, 2022, 10 (07)
  • [26] Motion Control of a Robotic Lumbar Spine Model
    Paixao, Thuanne
    Alvarez, Ana Beatriz
    Florez, Ruben
    Palomino-Quispe, Facundo
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2023, PT I, 2023, 13919 : 205 - 216
  • [27] DYNAMICS AND CONTROL OF THE ROBOTIC LUMBAR SPINE (RLS)
    Karadogan, Ernur
    Williams, Robert L., II
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE 2012, VOL 4, PTS A AND B, 2012, : 19 - 26
  • [28] Control Strategy of a Pneumatic Artificial Muscle for an Exoskeleton Application
    Villena Prado, Giancarlo
    Castro Sanchez, Miguel B.
    IFAC PAPERSONLINE, 2019, 52 (01): : 281 - 286
  • [29] Dynamics Compensation Strategy for Control of Lower Extremity Exoskeleton
    Pei, Pei
    Pei, Zhongcai
    Gu, Han
    Tang, Zhiyong
    Chen, Weihai
    PROCEEDINGS OF THE IEEE 2019 9TH INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) (CIS & RAM 2019), 2019, : 1 - 6
  • [30] Assimilation Control of a Robotic Exoskeleton for Physical Human-Robot Interaction
    Li, Guoxin
    Li, Zhijun
    Kan, Zhen
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02): : 2977 - 2984