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仿生鳍式水下机器人轨迹优化运动控制

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为了解决目前仿生鳍式水下机器人普遍存在的推进效率低下、移动速度低的问题,同时考虑到除了仿生鳍的材质、形状外,鳍的振荡轨迹、幅值和周期也是影响机器人推进效率、移动速度的重要因素,由此对仿生鳍摆动轨迹展开研究,通过采取轨迹优化方法来提高机器人水下推进效率。首先对仿生鳍的水中振荡过程进行受力分析,建立鳍的水动力学模型。其次,采用轨迹优化的方法对仿生鳍在水中运动时的轨迹进行优化,优化幅值和周期,并分析优化前和优化后的轨迹差异。随后,利用基于增大系数与振荡幅值的非线性逆模型简化轨迹优化方法,缩短轨迹优化需要的时间,使得优化轨迹可以应用于机器人的实时控制中。最后仿真和试验结果表明,结合简化水动力学的轨迹优化方法能够提高仿生鳍式水下机器人的推进效率和移动速度。
Trajectory optimization motion control of bionic fin underwater robot
In order to solve the problems of low propulsion efficiency and low moving speed which are commonly found in current bionic fin underwater robots,and considering that in addition to the material and shape of the bionic fins,the oscillating trajectory,amplitude,and period of the fins are also important factors affecting the propulsion efficiency and moving speed of the robots,thus the oscil-lating trajectory of the bionic fins was investigated,and the trajectory optimization method was adopted to improve the propulsion efficiency of the underwater robot.Firstly,the force analysis of the bionic fin's oscillation process in water was carried out and the hydrodynamic model of the fin was established.Secondly,the trajectory optimization method was used to optimize the trajectory of the bionic fin when it moves in water,the amplitude and period were optimized,and the differences between the traditional and the optimized trajectories were analyzed.Subsequently,the trajectory optimization method was sim-plified by using a non-linear inverse model based on the increase coefficient and the oscillation ampli-tude,which shortened the time required for trajectory optimization and enabled the optimized trajectory to be applied to the real-time control of the robot.Finally,simulation and experimental results show that the trajectory optimization method integrated with a simplified hydrodynamic model can improve the propulsion efficiency and movement speed of the bionic fin-type underwater robot.

bionic fin underwater robottrajectory optimizationhydrodynamic modelpropulsive efficiencyreal-time control

徐晟最、王伟、王国顺、赵文胜

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武汉大学动力与机械学院,湖北武汉 430072

仿生鳍式水下机器人 轨迹优化 水动力学模型 推进效率 实时控制

2024

排灌机械工程学报
中国农业机械学会排灌机械分会,江苏大学流体机械工程技术研究中心

排灌机械工程学报

CSTPCD北大核心
影响因子:1.055
ISSN:1674-8530
年,卷(期):2024.42(12)