Efficiency-based optimisation of a 2-DOF robotic fish model

Sayyed Farideddin Masoomi, S. Gutschmidt, Xiaoqi Chen, M. Sellier
{"title":"Efficiency-based optimisation of a 2-DOF robotic fish model","authors":"Sayyed Farideddin Masoomi, S. Gutschmidt, Xiaoqi Chen, M. Sellier","doi":"10.1504/IJBBR.2013.058736","DOIUrl":null,"url":null,"abstract":"One of the most attractive swimming characteristics of fishes is their efficient propulsion. In order to fully understand the kinematic, dynamic and fluid dynamic relationships that determine a high efficient fish, a mathematical model needs to be developed and analysed. Accordingly, in this paper, a fish robot with two degrees of freedom (DOF) is modelled. The robot’s dynamic equations of motion are presented and discussed. And the constant parameters of the equations are optimised using particle swarm optimisation (PSO) algorithm. Finally, the effects of optimised and non-optimised parameters on the robot behaviour is observed and analysed.","PeriodicalId":375470,"journal":{"name":"International Journal of Biomechatronics and Biomedical Robotics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biomechatronics and Biomedical Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBBR.2013.058736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

One of the most attractive swimming characteristics of fishes is their efficient propulsion. In order to fully understand the kinematic, dynamic and fluid dynamic relationships that determine a high efficient fish, a mathematical model needs to be developed and analysed. Accordingly, in this paper, a fish robot with two degrees of freedom (DOF) is modelled. The robot’s dynamic equations of motion are presented and discussed. And the constant parameters of the equations are optimised using particle swarm optimisation (PSO) algorithm. Finally, the effects of optimised and non-optimised parameters on the robot behaviour is observed and analysed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于效率的二自由度机器鱼模型优化
鱼类最吸引人的游泳特征之一是它们有效的推进力。为了充分理解决定高效鱼的运动学、动力学和流体动力学关系,需要开发和分析数学模型。在此基础上,本文建立了一种具有两自由度的鱼类机器人模型。给出并讨论了机器人的动力学运动方程。并利用粒子群优化算法对方程的常数参数进行了优化。最后,观察和分析了优化和非优化参数对机器人行为的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Towards electromyogram-based grasps classification Head movement and facial expression-based human-machine interface for controlling an intelligent wheelchair Physical model of human blood electronic memristors network Development of ameba-inspired crawler mechanism using worm gear A local hybrid actuator for robotic surgery instruments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1