Page Brian R, Lambert Reeve, Chavez-Galaviz Jalil, Mahmoudian Nina
School of Mechanical Engineering, Purdue University, West Lafayette, IN, United States.
Front Robot AI. 2021 Mar 15;8:621755. doi: 10.3389/frobt.2021.621755. eCollection 2021.
One of the main limiting factors in deployment of marine robots is the issue of energy sustainability. This is particularly challenging for traditional propeller-driven autonomous underwater vehicles which operate using energy intensive thrusters. One emerging technology to enable persistent performance is the use of autonomous recharging and retasking through underwater docking stations. This paper presents an integrated navigational algorithm to facilitate reliable underwater docking of autonomous underwater vehicles. Specifically, the algorithm dynamically re-plans Dubins paths to create an efficient trajectory from the current vehicle position through approach into terminal homing. The path is followed using integral line of sight control until handoff to the terminal homing method. A light tracking algorithm drives the vehicle from the handoff location into the dock. In experimental testing using an Oceanserver Iver3 and Bluefin SandShark, the approach phase reached the target handoff within 2 m in 48 of 48 tests. The terminal homing phase was capable of handling up to 5 m offsets with approximately 70% accuracy (12 of 17 tests). In the event of failed docking, a Dubins path is generated to efficiently drive the vehicle to re-attempt docking. The vehicle should be able to successfully dock in the majority of foreseeable scenarios when re-attempts are considered. This method, when combined with recent work on docking station design, intelligent cooperative path planning, underwater communication, and underwater power transfer, will enable true persistent undersea operation in the extremely dynamic ocean environment.
海洋机器人部署的主要限制因素之一是能源可持续性问题。对于使用耗能推进器运行的传统螺旋桨驱动自主水下航行器而言,这一挑战尤为严峻。一种实现持续运行的新兴技术是通过水下对接站进行自主充电和重新分配任务。本文提出了一种集成导航算法,以促进自主水下航行器可靠地进行水下对接。具体而言,该算法动态重新规划杜宾斯路径,以创建从当前航行器位置到接近终端归位的高效轨迹。使用积分视线控制跟踪该路径,直至切换到终端归位方法。一种光跟踪算法将航行器从切换位置驱动至对接站。在使用Oceanserver Iver3和Bluefin SandShark进行的实验测试中,在48次测试中的48次中,接近阶段在2米范围内到达目标切换位置。终端归位阶段能够处理高达5米偏差,准确率约为70%(17次测试中的12次)。在对接失败的情况下,生成杜宾斯路径以有效地驱动航行器重新尝试对接。考虑重新尝试时,航行器应能够在大多数可预见的场景中成功对接。当与最近关于对接站设计、智能协同路径规划、水下通信和水下电力传输的工作相结合时,这种方法将能够在极端动态的海洋环境中实现真正的持续海底作业。