DocumentCode :
534431
Title :
The control simulation of BRHL based on diagonal recurrent neural network
Author :
Xie, Hua-Long ; Guo, Li-Xin ; Zhang, Ming
Author_Institution :
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
Volume :
5
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1844
Lastpage :
1848
Abstract :
In order to provide an ideal test-bed for the research of intelligent bionic leg (IBL) controlled by magneto-rheological (MR) damper, a novel humanoid robot-biped robot with heterogeneous legs (BRHL) is proposed. First the conception and research purpose of BRHL are introduced. Then bionic design of BRHL is analyzed in detail. Coordinated dynamics model and MR damper model are given. In the end, diagonal recurrent neural network is discussed and control simulation is done. The result indicates that BRHL can simulate human´s gait well and is an ideal test-bed of intelligent bionic leg.
Keywords :
biology computing; biomechanics; electromagnetic actuators; magnetorheology; mobile robots; neurocontrollers; recurrent neural nets; BRHL control simulation; biped robot with heterogeneous legs; coordinated dynamics model; diagonal recurrent neural network; human gait simulation; humanoid robot; intelligent bionic leg; magnetorheological damper; Biological system modeling; Humans; Joints; Knee; Leg; Legged locomotion; biped robot with heterogeneous legs; diagonal recurrent neural network; gait tracking; intelligent bionic leg;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639258
Filename :
5639258
Link To Document :
بازگشت