Parameter identification of a fractional-order human-exoskeleton coupling model with the segmented form for the lower limb

Zhenlei Chen, Tieshan Li, Yao Yan, Qing Guo

Abstract: This paper presents a human-exoskeleton coupling model for estimating the human-exoskeleton coupling force. Specifically, to enhance the model's ability to characterize the complex mechanical characteristics of human-exoskeleton coupling, the fractional-order differential term is introduced. Moreover, the coupling model adopts a segmented form to characterize the different mechanical characteristics of front-side and back-side compression in the human-exoskeleton coupling. Using experimental data measured by the self-developed human-exoskeleton coupling measurement platform, the corresponding model parameters for 10 adult male and 10 adult female volunteers (Age: 23.65 $\pm$ 4.03 years, Height: 165.60 $\pm$ 8.32 cm, Weight: 62.35 $\pm$ 14.09 kg) were identified via Neighborhood Field Optimization (NFO) and Least Squares (LS) methods. Based on the analysis of the estimated root mean square error (RMSE) of the coupling force, it was verified that the coupling force can be estimated accurately based on the proposed fractional-order human-exoskeleton coupling model with the segmented form.

Submission Number: 150