Abstract
To better study how the ankle exoskeleton reduces the meta-bolic consumption of human body during walking, a simple biomechanical model is built to study the effect of ankle exoskeleton on the metabolism of plantar flexor muscle. Two types of exoskeleton assistive torque are brought into the model simulation, one is the proportional assistive torque, and the other is the optimal torque generated from the biomechanical model by a genetic algorithm. Compared with the former, the optimal torque has two counter-intuitive features: the amplitude peak delays and its amplitude during the main gait phase is less than that of the proportional torque. In further research, it is found that their internal mechanism is better to adapt to the changes in muscle efficiency caused by changes in muscle length and speed.
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Acknowledgment
The authors would like to gratefully acknowledge the reviewers’ comments. This work is supported by the National Natural Science Foundation of China (Grant Nos. U1713207), Science and Technology Planning Project of Guangdong Province (2017A010102005), Key Program of Guangzhou Technology Plan (Grant No. 201904020020).
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Wang, N., Li, Z., Zhong, Y., Zhang, X. (2021). Assistive Torque of Ankle Exoskeleton Based on a Simple Biomechanical Model and a Genetic Algorithm. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13013. Springer, Cham. https://doi.org/10.1007/978-3-030-89095-7_74
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