ImageVerifierCode 换一换
格式:PPT , 页数:25 ,大小:1.95MB ,
资源ID:378265      下载积分:2000 积分
快捷下载
登录下载
邮箱/手机:
温馨提示:
如需开发票,请勿充值!快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。
如填写123,账号就是123,密码也是123。
特别说明:
请自助下载,系统不会自动发送文件的哦; 如果您已付费,想二次下载,请登录后访问:我的下载记录
支付方式: 支付宝扫码支付 微信扫码支付   
注意:如需开发票,请勿充值!
验证码:   换一换

加入VIP,免费下载
 

温馨提示:由于个人手机设置不同,如果发现不能下载,请复制以下地址【http://www.mydoc123.com/d-378265.html】到电脑端继续下载(重复下载不扣费)。

已注册用户请登录:
账号:
密码:
验证码:   换一换
  忘记密码?
三方登录: 微信登录  

下载须知

1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。
2: 试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。
3: 文件的所有权益归上传用户所有。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 本站仅提供交流平台,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

版权提示 | 免责声明

本文(An EMG Enhanced Impedance and Force ControlFramework .ppt)为本站会员(brainfellow396)主动上传,麦多课文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知麦多课文库(发送邮件至master@mydoc123.com或直接QQ联系客服),我们立即给予删除!

An EMG Enhanced Impedance and Force ControlFramework .ppt

1、An EMG Enhanced Impedance and Force Control Framework for Telerobot Operation in Space,Ning Wang, Chenguang Yang, Michael R. Lyu, and Zhijun Li Dept. of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong School of Computing and Mathematics, Plymouth University, United Kin

2、gdom Key Lab of Autonomous System and Network Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou, China,Outline,Introduction Tele-robotics in space Tele-impedance control EMG signal characteristics Working framework Simulation & demonstration Conc

3、lusion & future work,2,Whats telerobot?,3,Robotics Deals with design, construction, operation, and application of robots. Interdisciplinarity: control, mechanics, artificial intelligence, etc. Tele-operation Employs automated machines to take the place of humans. Remotely operation from a distance b

4、y a human operator, rather than following a predetermined sequence of movements. Telerobot Tele-operated robot.,Telerobot operation challenge,4,Local human operator and remote autonomous robot Exchange of force and position signals, i.e., haptic feedback. Long-range communications suffer from time d

5、elay.Big challenge Delayed transmission of haptic signals lead to instability in robot control. Possible solutions? Wave scattering, passivity, small gain theorem, etc. Remains a difficulty.,Control instability!,Telerobot operation status quo,5,In space Requiring stability. Handling unpredictable en

6、vironments. Neural path of human being also subject to time delay. In presence of time delay, Human neural control can easily maintain stability. Humans show even superior manipulation skills in unstable interactions. Transfer skills from human operator to robot! Tele-impedance Operation stability o

7、f humans comes from adjusting mechanical impedance. Transferring a human operators muscle impedance to a telerobot.,Principle of tele-impedance,6,Tele-impedance using electromyogram (EMG) (Ajoudani et al., 2011). Estimating stiffness and force from EMG signal. Transferring impedance from human opera

8、tor to robot.,Reference task trajectory: qr(t), t0,T. Impedance and feed-forward torque:with minimal feedback,Control strategy,7,Research focus,8,Real-time extraction and processing of EMG. On-line estimation of human muscle impedance and force. Performance demonstration in simulated unstable scenar

9、io.,EMG signal,9,Physiological signal generated by muscle cells. Reflects human muscle activations and tensions. Long been utilized for human motor control. Suitable for extracting force and impedance of human muscles.,How to acquire EMG data?,Data recording Noninvasive electrodes. Bi-dimensional el

10、ectrical field on the skin surface. Generated by summation of motor unit action potentials (MUAP). Surface EMG,10,Amplitude and frequency properties in EMG,An EMG signal is typically a train of MUAP. A band-limited signal that describes the kth EMG wave is characterized by two sequences:- amplitude;

11、 - phase. AM-FM Signal modeling Signal decomposition. Primary component identification: amplitude A(n) and frequency (n).,11,Observations: EMG signal decomposition,12,EMG & decomposed waves in 5 frequency bands: Band 1: 10-100 Hz Band2: 100-200 Hz Band3: 200-300 Hz Band4: 300-400 Hz Band5: 400-500 H

12、z,Observations: primary EMG components,13,Instantaneous amplitude estimate A(n) and frequency estimate (n) in the decomposed EMG waves,Working Framework,14,EMG enhanced impedance and force control based tele-operation system in a typical aerospace operation scenario.,How to estimate stiffness from E

13、MG?,15,Human muscles and tendons act as a spring-damper system during movement. Changing stiffness via co-activation of antagonistic muscle pairs. Tele-operation by adjusting co-activations and corresponding endpoint stiffness profile (Ajoudani et al., 2011). Discarding up to 99% of EMG signal power

14、 before estimation (Potvin et al., 2003). involving only 400-500 Hz (Band 5)!,Stiffness estimation formulation,16,Endpoint forces in Cartesian coordinates: , and Processed EMG amplitudes in 400-500 Hz band At ith agonist muscle: At jth antagonist muscle: Parameter set:,Assuming linear mapping betwee

15、n muscle tensions and surface EMG,Stiffness estimation method,17,Iterative least squares (LS) approach to achieve online estimation of parameter set . Online endpoint force and stiffness estimation. Based on proportional muscle stiffness-torque relationship. Expressions under Cartesian coordinates,F

16、orce estimation,18,The key idea: Filter most of the low frequency power of the EMG signal, i.e., use only Band 5 EMG signal. Nonlinearly normalizedWith is obtained by linearly normalized to 100% of the maximum.Involved muscles: FCR (flexor carpi radialis), ECR (extensor carpi radialis),Simulation,19

17、Experimental set-up: Two-joint simulated robot arm with the first joint motionless. Right wrist of human operator in charge of simulated robot arm. Motion reference trajectory at initial position. Implemented using Matlab Robotics Toolbox in Simulink.,Demonstration,20,Observations on result,21,Stif

18、fness K and damping rate D: Stiffness K and damping rate D enlarged dramatically after impedance increase.,Observations on result,22,Angle shifting of simulated robot arm from reference trajectory (initial position at 0 radian). Shifting angle reduced greatly after impedance increase.,Conclusions,23

19、Transferring muscle impedance from human to robot introduced for reducing instability and enhancing control performance of tele-operation. Real time processing of EMG signal proposed for impedance and force estimation. Integrated framework built for the telerobot in aerospace applications to fully

20、capture operators control skills. Promising demonstration results shown for impedance control in simulated scenario.,Whats the next step?,24,Complete experimental studies on physical robot arm is planned to carry out to test and validate the framework proposed in this paper.,25,Thank you very much! Q & A,

copyright@ 2008-2019 麦多课文库(www.mydoc123.com)网站版权所有
备案/许可证编号:苏ICP备17064731号-1