A CPG-based gait planning and motion performance analysis for quadruped robot

被引:13
作者
Wei, ShunXiang [1 ]
Wu, Haibo [1 ]
Liu, Liang [1 ]
Zhang, YiXiao [1 ]
Chen, Jiang [1 ]
Li, Quanfeng [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming, Yunnan, Peoples R China
来源
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION | 2022年 / 49卷 / 04期
基金
中国国家自然科学基金;
关键词
Quadruped robot; Gait planning; Gait switching; Kuramoto phase oscillator; BPNN; WALKING ROBOTS; TRANSITION;
D O I
10.1108/IR-08-2021-0181
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose To achieve stable gait planning and enhance the motion performance of quadruped robot, this paper aims to propose a motion control strategy based on central pattern generator (CPG) and back-propagation neural network (BPNN). Design/methodology/approach First, the Kuramoto phase oscillator is used to construct the CPG network model, and a piecewise continuous phase difference matrix is designed to optimize the duty cycle of walk gait, so as to realize the gait planning and smooth switching. Second, the mapper between CPG output and joint drive is established based on BP neural network, so that the quadruped robot based on CPG control has better foot trajectory to enhance the motion performance. Finally, to obtain better mapping effect, an evaluation function is resigned to evaluate the proximity between the actual foot trajectory and the ideal foot trajectory. Genetic algorithm and particle swarm optimization are used to optimize the initial weights and thresholds of BPNN to obtain more accurate foot trajectory. Findings The method provides a solution for the smooth gait switching and foot trajectory of the robot. The quintic polynomial trajectory is selected to testify the validity and practicability of the method through simulation and prototype experiment. Originality/value The paper solved the incorrect duty cycle under the walk gait of CPG network constructed by Kuramoto phase oscillator, and made the robot have a better foot trajectory by mapper to enhance its motion performance.
引用
收藏
页码:779 / 797
页数:19
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