Low power, high PVT variation tolerant central pattern generator design for a bio-hybrid micro robot

Jing Lu, Jing Yang, Yong-Bin Kim, J. Ayers
{"title":"Low power, high PVT variation tolerant central pattern generator design for a bio-hybrid micro robot","authors":"Jing Lu, Jing Yang, Yong-Bin Kim, J. Ayers","doi":"10.1109/MWSCAS.2012.6292137","DOIUrl":null,"url":null,"abstract":"This paper presents a low power circuit design for an electronic nervous system composed of central pattern generator (CPG) to control a biomimetic robot that mimics the lamprey swimming system. The circuit has been designed using 65nm CMOS technology model at 0.8V supply. The design challenges of narrow voltage design margin and high sensitivity to parameter variation are addressed by circuit optimization techniques as well as amplitude and time parameter scaling. The electronic CPG consists of electronic neurons connected through electronic synapses, where the behaviors of the neuron and synapse adopt Hindmarsh-Rose (HR) dynamics to replicate biological neurons and a first order chemical synapse model is utilized to achieve active synapses. The simulation results validate the electronic CPG performance at 0.8V supply voltage with parameter variation tolerance of 5% dissipating 3.28mW. The die size of the chip is 1.1mm2 including I/O pads.","PeriodicalId":324891,"journal":{"name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2012.6292137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This paper presents a low power circuit design for an electronic nervous system composed of central pattern generator (CPG) to control a biomimetic robot that mimics the lamprey swimming system. The circuit has been designed using 65nm CMOS technology model at 0.8V supply. The design challenges of narrow voltage design margin and high sensitivity to parameter variation are addressed by circuit optimization techniques as well as amplitude and time parameter scaling. The electronic CPG consists of electronic neurons connected through electronic synapses, where the behaviors of the neuron and synapse adopt Hindmarsh-Rose (HR) dynamics to replicate biological neurons and a first order chemical synapse model is utilized to achieve active synapses. The simulation results validate the electronic CPG performance at 0.8V supply voltage with parameter variation tolerance of 5% dissipating 3.28mW. The die size of the chip is 1.1mm2 including I/O pads.
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
生物混合微型机器人低功率、高PVT容差中心图案发生器设计
本文提出了一种由中枢模式发生器(CPG)组成的电子神经系统控制模仿七鳃鳗游泳系统的仿生机器人的低功耗电路设计。该电路采用65nm CMOS技术在0.8V电源下设计。通过电路优化技术以及幅度和时间参数缩放,解决了电压设计裕度窄和参数变化敏感性高的设计难题。电子CPG由通过电子突触连接的电子神经元组成,神经元和突触的行为采用Hindmarsh-Rose (HR)动力学复制生物神经元,利用一阶化学突触模型实现活跃突触。仿真结果验证了电子CPG在0.8V电源电压下的性能,参数变化容限为5%,功耗为3.28mW。芯片的芯片尺寸为1.1mm2,包括I/O垫。
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
Fully digital 1-D, 2-D and 3-D multiscroll chaos as hardware pseudo random number generators Low power, high PVT variation tolerant central pattern generator design for a bio-hybrid micro robot Gain-enhancement differential amplifier using positive feedback CNTFET SRAM cell with tolerance to removed metallic CNTs The orthogonal projection matrices on the eigenspaces of the DFT-IV matrix
×
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