Control of Self-Balancing Lower Limb Exoskeleton for Various Wearers Under Dynamic Deformation

被引:0
作者
Li, Jinke [1 ]
Tian, Dingkui [1 ]
Li, Feng [1 ]
Yin, Meng [1 ]
Sun, Jianquan [1 ]
Zhang, Li [2 ,3 ]
Wu, Xinyu [1 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[2] Chinese Univ Hong Kong, Hong Kong 999077, Peoples R China
[3] SIAT CUHK, Joint Lab Robot & Intelligent Syst, Shenzhen 518055, Peoples R China
[4] Chinese Acad Sci, Shandong Inst Adv Technol, Jinan 250000, Peoples R China
基金
中国国家自然科学基金;
关键词
Robots; Deformation; Exoskeletons; Robot sensing systems; Legged locomotion; Robot kinematics; Real-time systems; Dynamic deformation; self-balancing exoskeleton; various wearers; NEURAL-NETWORK; STROKE;
D O I
10.1109/TMECH.2024.3447674
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unlike conventional lower limb exoskeletons that rely on external devices, the self-balancing exoskeletons enable individuals with diverse mobility impairments to regain the ability to walk. Current self-balancing exoskeletons struggle to balance between interpersonal adaption and compliance. Adjustments to parameters are often required when accommodating different wearers, and dynamic deformations pose significant challenges in the performance of these exoskeletons. This article proposes a control approach of self-balancing lower limb exoskeleton for various wearers under dynamic deformation, which includes two controllers. First, we propose a new informer-based feedforward deformation compensator, which could reduce the average position error and attitude error by 79.04% and 84.95%, respectively. Then, we design a compliance controller based on impedance control that can be applied to different wearers. At last, the self-balancing exoskeleton walking experiments with seven subjects (five male, two female) are conducted. The results reveal that this study achieves stable walking with the self-balancing exoskeleton loaded range from 0 to 73 kg.
引用
收藏
页数:12
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共 34 条
  • [1] [Anonymous], 2024, Nokov Motion Capture Cameras
  • [2] Human-robot collaboration: A survey
    Bauer, Andrea
    Wollherr, Dirk
    Buss, Martin
    [J]. INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2008, 5 (01) : 47 - 66
  • [3] A Robot Calibration Method Using a Neural Network Based on a Butterfly and Flower Pollination Algorithm
    Cao, Hung Quang
    Nguyen, Ha Xuan
    Thuong Ngoc-Cong Tran
    Hoang Ngoc Tran
    Jeon, Jae Wook
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (04) : 3865 - 3875
  • [4] Development and Evaluation of a Hip Exoskeleton for Lateral Resistance Walk Exercise
    Cao, Wujing
    Shang, Dongyang
    Yin, Meng
    Li, Xinwei
    Xu, Tiantian
    Zhang, Li
    Wu, Xinyu
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 28 (04) : 1966 - 1974
  • [5] Trajectory Prediction for Autonomous Driving Based on Structural Informer Method
    Chen, Chongpu
    Chen, Xinbo
    Guo, Chong
    Hang, Peng
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, : 1 - 12
  • [6] A positional error compensation method for industrial robots combining error similarity and radial basis function neural network
    Chen, Dongdong
    Wang, Tianmiao
    Yuan, Peijiang
    Sun, Ning
    Tang, Haiyang
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 30 (12)
  • [7] Cheng Zhuo, 2022, 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC), P774, DOI 10.1109/ICFTIC57696.2022.10075304
  • [8] Deep Learning for Robust Decomposition of High-Density Surface EMG Signals
    Clarke, Alexander Kenneth
    Atashzar, Seyed Farokh
    Vecchio, Alessandro Del
    Barsakcioglu, Deren
    Muceli, Silvia
    Bentley, Paul
    Urh, Filip
    Holobar, Ales
    Farina, Dario
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 68 (02) : 526 - 534
  • [9] Contreras-Vidal JL, 2013, IEEE ENG MED BIO, P1579, DOI 10.1109/EMBC.2013.6609816
  • [10] Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016
    Naghavi, Mohsen
    Abajobir, Amanuel Alemu
    Abbafati, Cristiana
    Abbas, Kaja M.
    Abd-Allah, Foad
    Abera, Semaw Ferede
    Aboyans, Victor
    Adetokunboh, Olatunji
    Arnlov, Johan
    Afshin, Ashkan
    Agrawal, Anurag
    Kiadaliri, Aliasghar Ahmad
    Ahmadi, Alireza
    Ahmed, Muktar Beshir
    Aichour, Amani Nidhal
    Aichour, Ibtihel
    Aichour, Miloud Taki Eddine
    Aiyar, Sneha
    Al-Eyadhy, Ayman
    Alahdab, Fares
    Al-Aly, Ziyad
    Alam, Khurshid
    Alam, Noore
    Alam, Tahiya
    Alene, Kefyalew Addis
    Ali, Syed Danish
    Alizadeh-Navaei, Reza
    Alkaabi, Juma M.
    Alkerwi, Ala'a
    Alla, Francois
    Allebeck, Peter
    Allen, Christine
    Al-Raddadi, Rajaa
    Alsharif, Ubai
    Altirkawi, Khalid A.
    Alvis-Guzman, Nelson
    Amare, Azmeraw T.
    Amini, Erfan
    Ammar, Walid
    Amoako, Yaw Ampem
    Anber, Nahla
    Andersen, Hjalte H.
    Andrei, Catalina Liliana
    Androudi, Sofia
    Ansari, Hossein
    Antonio, Carl Abelardo T.
    Anwari, Palwasha
    Arora, Megha
    Artaman, Al
    Aryal, Krishna Kumar
    [J]. LANCET, 2017, 390 (10100) : 1151 - 1210