Robotic Fish Motion Control Algorithm Based on Visual Information Loss
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摘要: 针对多机器鱼运动控制中视觉信息丢失的情况, 提出了一种运动补偿控制算法。首先, 针对机器鱼识别状态, 阐述了一种基于事件频率的二次滤波法判定策略。在此基础上建立了半闭环控制的直线追踪法数学模型, 通过对动作矩阵的计算和规划, 从而实现机器鱼近似直线的运动控制。然后基于时间-角度关系, 对圆弧切线法进行了推导, 进而实现在时间域内对机器鱼转弯的运动控制。仿真和实验结果均表明所提算法可以解决在视觉丢失问题下仿生机器鱼的运动控制问题。Abstract: To solve the problem of visual information loss in multi-robotic fish motion control, a motion compensation control algorithm is proposed. First, for the recognition status of a robotic fish, a judgment strategy using the secondary filtering method based on event frequency is expounded. Subsequently, the mathematical model of the straight-line tracking method with semi-closed loop control is established. Through the calculation and planning of an action matrix, the approximate linear motion control of the robotic fish is realized. Subsequently, based on the time–angle relationship, the circle tangent method is derived to realize the turning motion control of the robotic fish in the time domain. Simulation and experimental results show that the proposed algorithm can solve the motion control problem of bionic robotic fish when visual information loss occurs.
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