The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings.Complex modeling errors of the exoskeleton in different application scenarios pose challenges to the ...The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings.Complex modeling errors of the exoskeleton in different application scenarios pose challenges to the robustness and stability of its control algorithm.The Radial Basis Function(RBF)neural network is used widely to compensate for modeling errors.In order to solve the problem that the current RBF neural network controllers cannot guarantee the asymptotic stability,a neural network robust control algorithm based on computed torque method is proposed in this paper,focusing on trajectory tracking.It innovatively incorporates the robust adaptive term while introducing the RBF neural network term,improving the compensation ability for modeling errors.The stability of the algorithm is proved by Lyapunov method,and the effectiveness of the robust adaptive term is verified by the simulation.Experiments wearing the exoskeleton under different walking speeds and scenarios were carried out,and the results show that the absolute value of tracking errors of the hip and knee joints of the exoskeleton are consistently less than 1.5°and 2.5°,respectively.The proposed control algorithm effectively compensates for modeling errors and exhibits high robustness.展开更多
The increasing necessity of load-carrying activities has led to greater human musculoskeletal damage and an increased metabolic cost.With the rise of exoskeleton technology,researchers have begun exploring different a...The increasing necessity of load-carrying activities has led to greater human musculoskeletal damage and an increased metabolic cost.With the rise of exoskeleton technology,researchers have begun exploring different approaches to developing wearable robots to augment human load-carrying ability.However,there is a lack of systematic discussion on biomechanics,mechanical designs,and augmentation performance.To achieve this,extensive studies have been reviewed and 108 references are selected mainly from 2013 to 2022 to address the most recent development.Other earlier 20 studies are selected to present the origin of different design principles.In terms of the way to achieve load-carrying augmentation,the exoskeletons reviewed in this paper are sorted by four categories based on the design principles,namely load-suspended backpacks,lower-limb exoskeletons providing joint torques,exoskeletons transferring load to the ground and exoskeletons transferring load between body segments.Specifically,the driving modes of active and passive,the structure of rigid and flexible,the conflict between assistive performance and the mass penalty of the exoskeleton,and the autonomy are discussed in detail in each section to illustrate the advances,challenges,and future trends of exoskeletons designed to carry loads.展开更多
To help walking,using assistive devices can be considered to reduce the loads caused by weight and to effectively decrease the propulsive forces.In this study,a mobility Saddle-Assistive Device(S-AD)supporting body we...To help walking,using assistive devices can be considered to reduce the loads caused by weight and to effectively decrease the propulsive forces.In this study,a mobility Saddle-Assistive Device(S-AD)supporting body weight while walking was evaluated on two healthy volunteers.This device is based on the support of body weight against gravity with the help of a saddle,which is not used in other passive mobility assistive devices.To prove the efficiency of this device,the experimental results obtained while walking with this device were compared with those related to walking without the assistive device.The results showed that this device could significantly reduce the forces and torque of the lower and upper limbs when walking.By distributing the load on the saddle,the vertical force and the propulsive force in the best conditions were decreased to 46.7%and were increased to 13.7%in body weight,respectively.Using a S-AD can help patients with lower limbs weakness and elderly people to walk.展开更多
基金Supported by National Key R&D Program of China(Grant No.2022YFB4701200)National Natural Science Foundation of China(NSFC)(Grant Nos.T2121003,52205004).
文摘The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings.Complex modeling errors of the exoskeleton in different application scenarios pose challenges to the robustness and stability of its control algorithm.The Radial Basis Function(RBF)neural network is used widely to compensate for modeling errors.In order to solve the problem that the current RBF neural network controllers cannot guarantee the asymptotic stability,a neural network robust control algorithm based on computed torque method is proposed in this paper,focusing on trajectory tracking.It innovatively incorporates the robust adaptive term while introducing the RBF neural network term,improving the compensation ability for modeling errors.The stability of the algorithm is proved by Lyapunov method,and the effectiveness of the robust adaptive term is verified by the simulation.Experiments wearing the exoskeleton under different walking speeds and scenarios were carried out,and the results show that the absolute value of tracking errors of the hip and knee joints of the exoskeleton are consistently less than 1.5°and 2.5°,respectively.The proposed control algorithm effectively compensates for modeling errors and exhibits high robustness.
基金supported by the National Key R&D Program of China(Grant No.2020YFC2007800)the National Natural Science Foundation of China(Grant Nos.52005191 and 52027806)。
文摘The increasing necessity of load-carrying activities has led to greater human musculoskeletal damage and an increased metabolic cost.With the rise of exoskeleton technology,researchers have begun exploring different approaches to developing wearable robots to augment human load-carrying ability.However,there is a lack of systematic discussion on biomechanics,mechanical designs,and augmentation performance.To achieve this,extensive studies have been reviewed and 108 references are selected mainly from 2013 to 2022 to address the most recent development.Other earlier 20 studies are selected to present the origin of different design principles.In terms of the way to achieve load-carrying augmentation,the exoskeletons reviewed in this paper are sorted by four categories based on the design principles,namely load-suspended backpacks,lower-limb exoskeletons providing joint torques,exoskeletons transferring load to the ground and exoskeletons transferring load between body segments.Specifically,the driving modes of active and passive,the structure of rigid and flexible,the conflict between assistive performance and the mass penalty of the exoskeleton,and the autonomy are discussed in detail in each section to illustrate the advances,challenges,and future trends of exoskeletons designed to carry loads.
文摘To help walking,using assistive devices can be considered to reduce the loads caused by weight and to effectively decrease the propulsive forces.In this study,a mobility Saddle-Assistive Device(S-AD)supporting body weight while walking was evaluated on two healthy volunteers.This device is based on the support of body weight against gravity with the help of a saddle,which is not used in other passive mobility assistive devices.To prove the efficiency of this device,the experimental results obtained while walking with this device were compared with those related to walking without the assistive device.The results showed that this device could significantly reduce the forces and torque of the lower and upper limbs when walking.By distributing the load on the saddle,the vertical force and the propulsive force in the best conditions were decreased to 46.7%and were increased to 13.7%in body weight,respectively.Using a S-AD can help patients with lower limbs weakness and elderly people to walk.
