Li Junmin, Wang Jinge, Yang Simon X, Zhou Kedong, Tang Huijuan
School of Mechanical Engineering, Xihua University, No. 999 Jinzhou Road, Jinniu District, Chengdu, Sichuan, China.
Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph, ON, Canada N1G 2W1.
Comput Intell Neurosci. 2016;2016:9853070. doi: 10.1155/2016/9853070. Epub 2016 Apr 10.
In order to realize smooth gait planning and stability control of a quadruped robot, a new controller algorithm based on CPG-ZMP (central pattern generator-zero moment point) is put forward in this paper. To generate smooth gait and shorten the adjusting time of the model oscillation system, a new CPG model controller and its gait switching strategy based on Wilson-Cowan model are presented in the paper. The control signals of knee-hip joints are obtained by the improved multi-DOF reduced order control theory. To realize stability control, the adaptive speed adjustment and gait switch are completed by the real-time computing of ZMP. Experiment results show that the quadruped robot's gaits are efficiently generated and the gait switch is smooth in the CPG control algorithm. Meanwhile, the stability of robot's movement is improved greatly with the CPG-ZMP algorithm. The algorithm in this paper has good practicability, which lays a foundation for the production of the robot prototype.
为实现四足机器人的平稳步态规划与稳定性控制,本文提出了一种基于CPG-ZMP(中枢模式发生器-零力矩点)的新型控制器算法。为生成平滑步态并缩短模型振荡系统的调节时间,本文提出了一种基于Wilson-Cowan模型的新型CPG模型控制器及其步态切换策略。通过改进的多自由度降阶控制理论获得膝髋关节的控制信号。为实现稳定性控制,通过ZMP的实时计算完成自适应速度调整和步态切换。实验结果表明,在CPG控制算法中,四足机器人的步态能够高效生成,且步态切换平稳。同时,采用CPG-ZMP算法极大地提高了机器人运动的稳定性。本文算法具有良好的实用性,为机器人样机的制作奠定了基础。