通过分析生物节律运动机理,提出基于中枢模式发生器模型的步态控制方法。利用改进的Van der pol方程构造非线性振子作为单个CPG的数学模型。采用KB法得到振荡神经元一阶近似周期解,在此基础上设计具有线性反馈项的环状CPG网络模型,并给出了控制机器人步态协调运动方法。仿真结果验证了基于CPG模型的控制方法可以有效生成节律运动的常规步态并实现步态切换。
A CPG control mechanism is proposed for hopping motion control of biped robot in unpredictable environment. Based on analysis of robot motion and biological observation of animal＇s control mechanism, the motion control task is divided into two simple parts： motion sequence control and output force control. Inspired by a two-level CPG model, a two-level CPG control mechanism is constructed to coordinate the drivers of robot joint, while various feedback information are introduced into the control mechanism. Interneurons within the control mechanism are modeled to generate motion rhythm and pattern promptly for motion sequence control; motoneurons are modeled to control output forces of joint drivers in real time according to feedbacks. The control system can perceive changes caused by unknown perturbations and environment changes according to feedback information, and adapt to unpredictable environment by adjusting outputs of neurons. The control mechanism is applied to a biped hopping robot in unpredictable environment on simulation platform, and stable adaptive motions are obtained.
Tingting WangWei GuoMantian LiFusheng ZhaLining Sun
