Ding Feng, Wang Rui, Zhang Tiandong, Zheng Gang, Wu Zhengxing, Wang Shuo
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
Cyborg Bionic Syst. 2024 May 9;5:0112. doi: 10.34133/cbsystems.0112. eCollection 2024.
In this article, we study the trajectory planning and tracking control of a bionic underwater robot under multiple dynamic obstacles. We first introduce the design of the bionic leopard cabinet underwater robot developed in our lab. Then, we model the trajectory planning problem of the bionic underwater robot by combining its dynamics and physical constraints. Furthermore, we conduct global trajectory planning for bionic underwater robots based on the temporal-spatial Bezier curves. In addition, based on the improved proximal policy optimization, local dynamic obstacle avoidance trajectory replanning is carried out. In addition, we design the fuzzy proportional-integral-derivative controller for tracking control of the planned trajectory. Finally, the effectiveness of the real-time trajectory planning and tracking control method is verified by comparative simulation in dynamic environment and semiphysical simulation of UWSim. Among them, the real-time trajectory planning method has advantages in trajectory length, trajectory smoothness, and planning time. The error of trajectory tracking control method is controlled around 0.2 m.
在本文中,我们研究了多动态障碍物环境下仿生水下机器人的轨迹规划与跟踪控制。我们首先介绍了实验室研发的仿生豹纹水下机器人的设计。然后,结合其动力学和物理约束对仿生水下机器人的轨迹规划问题进行建模。此外,基于时空贝塞尔曲线对仿生水下机器人进行全局轨迹规划。另外,基于改进的近端策略优化进行局部动态避障轨迹重规划。同时,设计模糊比例积分微分控制器对规划轨迹进行跟踪控制。最后,通过动态环境下的对比仿真以及UWSim半物理仿真验证了实时轨迹规划与跟踪控制方法的有效性。其中,实时轨迹规划方法在轨迹长度、轨迹平滑度和规划时间方面具有优势。轨迹跟踪控制方法的误差控制在0.2 m左右。