为了生成仿生长鳍波动推进器的多种运动模式,提出了一种基于中枢模式发生器(CPG)模型的运动控制方法.利用改进的Matsuoka振荡器,建立了一个含有10个神经振荡器的CPG模型,通过调节CPG模型的输入参数协调控制推进器各鳍条的摆动,得到多种运动模式,基于CPG模型建立了长鳍波动推进器的运动控制器.通过在FPGA中实现CPG控制器,实现长鳍波动推进器的实时在线控制.通过推进器的游动实验,验证了控制器的有效性.
In order to generate multiple kinds of motion patterns of an underwater thruster with biomimetic undulating long-fin,a CPG(central pattern generator) model based method of motion control is proposed.Based on modified Matsuoka model,a CPG model with ten neural oscillators is built.And based on this model,a controller for the motion control of the thruster is designed. Through the tuning of the input parameters,the oscillating of the coupled rays are controlled coordinately and multiple kinds of motion patter...