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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Wang Zhelong

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Main positions:Professor, Head of Lab of Intelligent System
Other Post:自动化技术研究所所长
Gender:Male
Alma Mater:University of Durham
Degree:Doctoral Degree
School/Department:School of Control Science and Engineering
Discipline:Control Theory and Control Engineering. Pattern Recognition and Intelligence System. Detection Technology and Automation Device
Business Address:Lab of Intelligent System
http://lis.dlut.edu.cn/

Contact Information:0411-84709010 wangzl@dlut.edu.cn
E-Mail:wangzl@dlut.edu.cn
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CPG-Inspired Locomotion Control for a Snake Robot Basing on Nonlinear Oscillators

Hits : Praise

Indexed by:期刊论文

Date of Publication:2017-02-01

Journal:JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Included Journals:SCIE、EI、Scopus

Volume:85

Issue:2

Page Number:209-227

ISSN No.:0921-0296

Key Words:Central pattern generator; Snake robot; Serpentine locomotion; Sidewinding locomotion; Oscillator

Abstract:The article focuses on locomotion control of a snake-like robot with cardan joints using a central pattern generator (CPG) approach. A double chain structure of a CPG model is developed based on nonlinear oscillators connected with diffusive couplings. The proposed CPG model has the ability to produce stable rhythmic patterns applied both in the serpentine locomotion and sidewinding locomotion of snake robots. The global exponential stability of the model is also presented using the partial contraction theory. An important point addressed in this paper is that the proposed CPG model has explicit control parameters including not only frequencies of oscillation and amplitudes of oscillation but also phase differences between the neighbor oscillators. The method to adjust the speed and direction of the snake robot during the locomotion is discussed by modulating the control parameters in the proposed CPG model directly. Simulation results together with the experiments on a real snake robot show that the proposed CPG approach can be used to control snake robots successfully.