دورية أكاديمية

Humanoid control of lower limb exoskeleton robot based on human gait data with sliding mode neural network

التفاصيل البيبلوغرافية
العنوان: Humanoid control of lower limb exoskeleton robot based on human gait data with sliding mode neural network
المؤلفون: Jun Yu, Shuaishuai Zhang, Aihui Wang, Wei Li, Zhengxiang Ma, Xuebin Yue
المصدر: CAAI Transactions on Intelligence Technology, Vol 7, Iss 4, Pp 606-616 (2022)
بيانات النشر: Wiley, 2022.
سنة النشر: 2022
المجموعة: LCC:Computational linguistics. Natural language processing
LCC:Computer software
مصطلحات موضوعية: Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765
الوصف: Abstract Lower limb exoskeleton robots offer an effective treatment for patients with lower extremity dysfunction. In order to improve the rehabilitation training effect based on the human motion mechanism, this paper proposes a humanoid sliding mode neural network controller based on the human gait. A humanoid model is constructed based on the human mechanism, and the parameterised gait trajectory is used as target to design the humanoid control system for robots. Considering the imprecision of the robot dynamics model, the neural network is adopted to compensate for the uncertain part of the model and improve the model accuracy. Moreover, the sliding mode control in the system improves the response speed, tracking performance, and stability of the control system. The Lyapunov stability analysis proves the stability of the control system theoretically. Meanwhile, an evaluation method using the similarity function is improved based on joint angle, velocity, and acceleration to evaluate the comfort of humans in rehabilitation training more reasonably. Finally, to verify the effectiveness of the proposed method, simulations are carried out based on experimental data. The results show that the control system could accurately track the target trajectory, of which the robot is highly similar to the human.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2468-2322
Relation: https://doaj.org/toc/2468-2322
DOI: 10.1049/cit2.12127
URL الوصول: https://doaj.org/article/39d61d8c2afa4f6f8f880d5ad01364e5
رقم الأكسشن: edsdoj.39d61d8c2afa4f6f8f880d5ad01364e5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24682322
DOI:10.1049/cit2.12127