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