A NOVEL CABLE-PULLEY UNDERACTUATED LOWER LIMB EXOSKELETON FOR HUMAN LOAD-CARRYING WALKING

2017 ◽  
Vol 17 (07) ◽  
pp. 1740042
Author(s):  
YANG LIU ◽  
YONGSHENG GAO ◽  
YANHE ZHU

Wearable lower limb exoskeleton has comprehensive applications such as load-carrying augmentation, walking assistance, and rehabilitation training by using many active actuators in the joints to reduce the metabolic cost generally. The traditional fully actuated exoskeleton is bulky and requires large energy consumption, and the passive exoskeleton is difficult to provide effective power assistance. To achieve both small number of actuators and good assisting performance, this paper proposes a cable-pulley underactuated principle-based lower limb exoskeleton. The exoskeleton dynamics was modeled and the human-exoskeleton hybrid model was analyzed via ADAMS and LifeMOD to provide an evaluation method for power assistance. By exploiting the control strategy and utilizing the synergies of torque and power assistance, the hip joint and the knee joint can be actuated by a single cable simultaneously. Moreover, the human-exoskeleton co-simulation method was utilized to verify the assisting performance and control effect. In this simulation, the upper toque peak and power required by human are obviously reduced by power assistance and the joint angle curves without exoskeleton are in accordance with the joint angle curves with exoskeleton almost. In conclusion, the designed exoskeleton is compatible with human motion and feasible to provide effective power assistance in load-carrying walking.

Author(s):  
Longhan Xie ◽  
Xiaodong Li

During walking, human lower limbs accelerate and decelerate alternately, during which period the human body does positive and negative work, respectively. Muscles provide power to all motions and cost metabolic energy both in accelerating and decelerating the lower limbs. In this work, the lower-limb biomechanics of walking was analyzed and it revealed that if the negative work performed during deceleration can be harnessed using some assisting device to then assist the acceleration movement of the lower limb, the total metabolic cost of the human body during walking can be reduced. A flexible lower-limb exoskeleton was then proposed; it is worn in parallel to the lower limbs to assist human walking without consuming external power. The flexible exoskeleton consists of elastic and damping components that are similar to physiological structure of a human lower limb. When worn on the lower limb, the exoskeleton can partly replace the function of the lower limb muscles and scavenge kinetic energy during lower limb deceleration to assist the acceleration movement. Besides, the generator in the exoskeleton, serving as a damping component, can harvest kinetic energy to produce electricity. A prototype of the flexible exoskeleton was developed, and experiments were carried out to validate the analysis. The experiments showed that the exoskeleton could reduce the metabolic cost by 3.12% at the walking speed of 4.5 km/h.


2019 ◽  
Vol 43 (1) ◽  
pp. 102-111
Author(s):  
Dowan Cha ◽  
Kab Il Kim

Recognition of walking intention and assistance in the load-carrying driver’s walking capability are key challenging areas in lower limb exoskeletons. We present a lower limb exoskeleton called the unmanned technology research centre exoskeleton (UTRCEXO). It recognizes walking intention, including step initiation, step velocity (acceleration and deceleration), and step termination of drivers using only insole-type FSRs and three axis F/T sensors. UTRCEXO recognizes the driver’s intention of step initiation using insole-type FSRs and recognizes the intention of step velocity and step termination using three axis F/T sensors. UTRCEXO makes use of four DC motors, two at each knee and hip joint, to assist the driver. The the driver can carry a 20 kg payload comfortably with muscle activity reduction. In this paper, we evaluate muscle activity reduction in walking drivers equipped with UTRCEXO carrying a 20 kg payload.


2015 ◽  
Vol 26 (s1) ◽  
pp. S729-S738 ◽  
Author(s):  
Yanhe Zhu ◽  
Guoan Zhang ◽  
Chao Zhang ◽  
Gangfeng Liu ◽  
Jie Zhao

2021 ◽  
Vol 18 (1) ◽  
pp. 172988142199228
Author(s):  
Buyun Wang ◽  
Yi Liang ◽  
Dezhang Xu ◽  
Zhihong Wang ◽  
Jing Ji

According to the characteristics of human gait and the requirements of power assistance, locomotive mechanisms and electrohydraulic servo driving are designed on a lower limb exoskeleton robot, in which the miniaturization and lightweight of driving system are realized. The kinematics of the robot is analyzed and verified via the typical movements of the exoskeleton. In this article, the simulation on the power of joints during level walking was analyzed in ADAMS 2016, which is a multibody simulation and motion analysis software. Motion ranges and driving strokes are then optimized. A proportional integral derivative (PID) control method with error estimation and pressure compensation is proposed to satisfy the requirements of joints power assistance and comply with the motion of human lower limb. The proposed method is implemented into the exoskeleton for assisted walking and is verified by experimental results. Finally, experiments show that the tracking accuracy and power-assisted performance of exoskeleton robot joints are improved.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 67250-67262
Author(s):  
Tianshuo Wang ◽  
Yanhe Zhu ◽  
Tianjiao Zheng ◽  
Dongbao Sui ◽  
Sikai Zhao ◽  
...  

2016 ◽  
Vol 32 (3) ◽  
pp. 269-277 ◽  
Author(s):  
Michael S. Cherry ◽  
Sridhar Kota ◽  
Aaron Young ◽  
Daniel P. Ferris

Although there have been many lower limb robotic exoskeletons that have been tested for human walking, few devices have been tested for assisting running. It is possible that a pseudo-passive elastic exoskeleton could benefit human running without the addition of electrical motors due to the spring-like behavior of the human leg. We developed an elastic lower limb exoskeleton that added stiffness in parallel with the entire lower limb. Six healthy, young subjects ran on a treadmill at 2.3 m/s with and without the exoskeleton. Although the exoskeleton was designed to provide ~50% of normal leg stiffness during running, it only provided 24% of leg stiffness during testing. The difference in added leg stiffness was primarily due to soft tissue compression and harness compliance decreasing exoskeleton displacement during stance. As a result, the exoskeleton only supported about 7% of the peak vertical ground reaction force. There was a significant increase in metabolic cost when running with the exoskeleton compared with running without the exoskeleton (ANOVA, P < .01). We conclude that 2 major roadblocks to designing successful lower limb robotic exoskeletons for human running are human-machine interface compliance and the extra lower limb inertia from the exoskeleton.


2016 ◽  
Vol 40 (4) ◽  
pp. 657-666 ◽  
Author(s):  
Yanhe Zhu ◽  
Chao Zhang ◽  
Jizhuang Fan ◽  
Hongying Yu ◽  
Jie Zhao

A lower limb exoskeleton can help in weight-bearing and walking to assist laborers doing heavy work. For exoskeleton-assisted walking, the wearing comfort and walking convenience are important so there must be minimal interference with leg movement. Hence, a peculiar design strategy based on an in-sole sensing shoe is presented to achieve real-time motion detection and follow-up control of the moving leg. Compared to the elastic muscle extension, the sensor must exhibit minimal deflection under load. Therefore, an ultra-thin structure integrating 6 bar linkages and 3 cantilevers has been used in the design of the in-sole sensing shoe which can detect force in two directions and torque in one. A swing phase experiment and a random leg motion test were carried out. Results show validity of human motion detection and follow-up control strategy based on this plantar surface sensor.


2020 ◽  
Vol 17 (1) ◽  
pp. 172988141989349
Author(s):  
Bin Ren ◽  
Jianwei Liu ◽  
Jiayu Chen

The lower limb exoskeleton robot is capable of providing assisted walking and enhancing exercise ability of humans. The coupling human–machine model has attracted a lot of research efforts to solve the complex dynamics and nonlinearity within the system. This study focuses on an approach of gait trajectory optimization of lower limb exoskeleton coupled with human through genetic algorithm. The human–machine coupling system is studied in this article through multibody virtual simulation environment. Planning of the motion trajectory is carried out by the genetic algorithm, which is iteratively generated under optimization of a set of specially designed fitness functions. Human motion captured data are used to guide the evolution of gait trajectory generation method based on genetic algorithm. Experiments are carried out using the MATLAB/Simulink Multibody physical simulation engine and genetic algorithm-toolbox to generate a more natural gait trajectory, the results show that the proposed gait trajectory generation method can provide an anthropomorphic gait for lower limb exoskeleton device.


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