基于混合烟花算法的水陆两栖机器人动态建模与路径规划

Yuanyang Qi, Jincun Liu, Junzhi Yu
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引用次数: 8

摘要

由于两栖环境的复杂性,两栖环境下的路径规划任务需要额外考虑。提出了一种考虑动态约束的两栖机器人“两栖机器人”的路径规划方法。首先,利用凯恩方法建立了显式动力学模型。通过计算流体力学模拟得到了水动力参数。针对两栖机器人多运动模式和工作环境的特点,结合烟花算法和骨架烟花算法,提出了一种基于混合烟花算法的路径规划方法。然后在动态模型确定的约束条件下,利用杜宾路径对初始规划路径进行平滑处理。仿真结果表明,在两栖环境场景下,混合烟花算法方法的性能优于烟花算法和骨架烟花算法单独应用。
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Dynamic Modeling and Hybrid Fireworks Algorithm-Based Path Planning of an Amphibious Robot
The task of path planning in amphibious environments requires additional consideration due to the complexity of the amphibious environments. This paper presents a path planning method for an amphibious robot named “AmphiRobot” with its dynamic constraints considered. First, an explicit dynamic model using Kane’s method is presented. The hydrodynamic parameters are obtained through computational fluid dynamics simulations. Furthermore, a path planning method based on a hybrid fireworks algorithm is proposed, combining the fireworks algorithm and bare bones fireworks algorithm, aiming at the amphibious robot’s characteristics of multiple motion modes and working environments. The initially planned path is then smoothed using Dubins path under constraints determined by the dynamic model. Simulation reveals that the performance of the hybrid fireworks algorithm approach is better than the fireworks algorithm and bare bones fireworks algorithm is applied separately in the amphibious environment scenarios.
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