Power-assisted Optimization Model of Heterogeneous Sensor Exoskeleton Devices Based on Swarm Intelligence Algorithm and Dynamics Optimization

With the ongoing integration of bionic technology and mechatronics, exoskeleton devices are finding applications in industry, healthcare, and logistics. This study is centered on enhancing the performance of heterogeneous sensor exoskeleton devices by presenting a six-degree-of-freedom upper limb ex...

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Vydané v:Sensors and materials Ročník 36; číslo 1; s. 305
Hlavní autori: Liu, Mingxian, Zhou, Xinbo, Bao, Jing
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Tokyo MYU Scientific Publishing Division 01.01.2024
Predmet:
Algorithms
Bionics
Exoskeletons
Industrial applications
Model accuracy
Multiple objective analysis
Optimization models
Swarm intelligence
Trigonometric functions
ISSN:0914-4935, 2435-0869
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Shrnutí:With the ongoing integration of bionic technology and mechatronics, exoskeleton devices are finding applications in industry, healthcare, and logistics. This study is centered on enhancing the performance of heterogeneous sensor exoskeleton devices by presenting a six-degree-of-freedom upper limb exoskeleton robot model based on the Denavit–Hartenberg (MDH) approach. The model's accuracy is verified using MATLAB. We construct a multi-objective optimization model that prioritizes workspace expansion. To realize this model, we propose an improved Harris Hawks algorithm (SCA-HHO) based on the sine cosine algorithm. The algorithm's effectiveness is compared with popular swarm intelligence methods (PSO, AOA, WOA) through cross-sectional simulations. SCA-HHO achieves average improvements of 6.30, 1.48, and 0.88% in objective function values compared with the swarm intelligence algorithms, respectively. This indicates SCA-HHO's superior suitability for solving the model proposed in this paper.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0914-4935
2435-0869
DOI:10.18494/SAM4649