DocumentCode :
3476413
Title :
Design of Quadruped Robot Based CPG and Fuzzy Neural Network
Author :
Sun, Lei ; Meng, Max Q H ; Chen, Wanming ; Liang, Huawei ; Mei, Tao
Author_Institution :
Chinese Acad. of Sci., Hefei
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2403
Lastpage :
2408
Abstract :
The paper proposed a method for a quadruped robot control system based central pattern generator (CPG) and fuzzy neural networks (FNN). The common approach for the control of a quadruped robot includes two methods mainly. One is the CPG that is based the bionics, the other is the dynamic control that is based the model of quadruped robot. The control result of CPG is decided by the gait data of the quadruped and the parameters of the CPG are choosing manually. Modeling a quadruped robot is difficult because it is a high nonlinear system. This paper presents a much simpler method for the control of a quadruped robot. A simple CPG is adopted for a timing oscillator; it generates the motion periodic pattern of legs. The FNN is used to control the joint motion in order to get a desired stable trajectory motion.
Keywords :
biocybernetics; fuzzy control; fuzzy neural nets; mobile robots; motion control; neurocontrollers; nonlinear control systems; bionics; central pattern generator; dynamic control; fuzzy neural network; joint motion control; motion periodic pattern; nonlinear system; quadruped robot; timing oscillator; trajectory motion; Fuzzy control; Fuzzy neural networks; Leg; Legged locomotion; Motion control; Nonlinear dynamical systems; Oscillators; Robot control; Robotics and automation; Timing; Central Pattern generator (CPG); FNN; Quadruped robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338980
Filename :
4338980
Link To Document :
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