DocumentCode :
1595047
Title :
General Control Model for Bionic Inchworm Robot Moving Modes Based on Discrete Hopfield Neural Network
Author :
Yu Lianzhi ; Chen Jian
Author_Institution :
Coll. of Optoelectric & Electr. Inf. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear :
2012
Firstpage :
687
Lastpage :
690
Abstract :
In this paper, Based on the principle of discrete Hop field neural network, a general Hop field neural network control model is proposed and applied in an bionic inchworm 3-DOF micro robot moving modes process. The structure and the moving modes in one step cycle of the inchworm robot system were described, and according to orderly continuous moving modes, a three-node Hop field neural network with two groups of connecting weight coefficients and thresholds was designed, which could be used to control the orderly continuous convergence inchworm robot moving states of space 3-DOF direction in one step moving cycle. Results prove the Hop field neural network controller is suitable for the inchworm robot moving process control.
Keywords :
Hopfield neural nets; mobile robots; Hop field neural network controller; bionic inchworm 3-DOF microrobot; bionic inchworm robot; discrete Hopfield neural network; general control model; weight coefficients; Actuators; Hopfield neural networks; Joining processes; Neurons; Pneumatic systems; Robots; Hopfield Neural network; general control model; inchworm robot; moving State;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
Type :
conf
DOI :
10.1109/ISdea.2012.580
Filename :
6173299
Link To Document :
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