Kinematics and statics of eccentric soft bending actuators with external payloads

被引:47
作者
Yang, Chenghao [1 ,2 ]
Kang, Rongjie [1 ]
Branson, David T. [3 ]
Chen, Lisha [4 ]
Dai, Jian S. [5 ]
机构
[1] Tianjin Univ, Ctr Adv Mech & Robot, Minist Educ, Key Lab Mech Theory & Equipment Design, Tianjin, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Beijing, Peoples R China
[3] Univ Nottingham, Fac Engn, Nottingham, England
[4] Tianjin Polytech Univ, Sch Mech Engn, Tianjin, Peoples R China
[5] Kings Coll London, Ctr Robot Res, London, England
基金
英国工程与自然科学研究理事会; 国家重点研发计划;
关键词
Eccentric soft bending actuators; Screw theory; Statics model; Parameters optimization; CONTINUUM ROBOTS; SILICONE-RUBBER; DESIGN; FABRICATION; DYNAMICS; MODELS;
D O I
10.1016/j.mechmachtheory.2019.05.015
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Soft bending actuators, born with the considerable capacity of structural flexibility and environmental adaptability, have been widely favored for years. However, the highly nonlinear coupling between force and deformation in such robots are very complex, especially considering the external payloads. This paper puts forward a concept of eccentric soft bending actuators (ESBAs) that can exhibit different output characteristics by modifying the geometric parameters. A virtual trajectory based kinematic model is introduced to describe the deformation of ESBAs so that the screw theory based product of exponentials (POE) formula is applied to the analysis of such soft tentacle-like structures for the first time. Following this, the static model takes the input pressure, external payloads, and material parameters into account by utilizing the principle of minimum potential energy, making a generalized mathematical expression. The proposed model is then verified via finite element methods (FEM), and finally through experiments. An application example shows that the Particle Swarm Optimization (PSO) is introduced to find appropriate geometric parameters to make an ESBA have maximum stiffness. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:526 / 541
页数:16
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