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一种用于多足步行机器人步态控制的CPG模型
引用本文:袁鹏. 一种用于多足步行机器人步态控制的CPG模型[J]. 制造业自动化, 2007, 29(10): 34-39
作者姓名:袁鹏
作者单位:中国海洋大学,工程学院,青岛,266100
摘    要:基于对生物节律性周期运动的CPG控制的概念,采用Lakshmanan和Murali的双变量简化Hodgkin-Huxley振荡神经元模型作为CPG的振子。对该模型进行了不动点及稳定性分析和分岔分析,指出了其二次Hopf分岔特性和振荡条件。在此基础上,建立了一种用于八足步行机器人步态控制的CPG模型。通过分阶段遗传算法,分别针对几种步态进行了参数优化,通过仿真验证了所提出的CPG模型的可行性。

关 键 词:CPG  步态  多足步行机器人
文章编号:1009-0134(2007)10-0034-08
修稿时间:2007-05-21

A CPG model of multi-legged walking robot gait controlling
YUAN Peng. A CPG model of multi-legged walking robot gait controlling[J]. Manufacturing Automation, 2007, 29(10): 34-39
Authors:YUAN Peng
Affiliation:College of Engineering, Ocean University of China, Qingdao 266100, China
Abstract:Based on the anatomy fact that the rhythmic motor pattern is controlled by CPG function modular,the conception of CPG control in multi-legged gait is presented.Neuraxon's nonlinear oscillation model given by Lakshmanan and Murali is analyzed,Hopf bifurcation phenomenon and effects of parameters on its oscillation behavior are discussed.A CPG model for multi-legged walking robot's gait control is made by adopting the neuron oscillator,parameters of the model is optimized by using multi-stage genetic algorithm and some gaits are generated using this model by simulation.Simulation result proved the constructed CPG model is feasible.
Keywords:CPG  gait  multi-legged walking robot
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