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基于多传感器的无人水面艇自主回收引导

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布放回收是无人艇应用的关键技术之一,是制约其深远海应用的主要瓶颈问题,目前无人艇的回收基本采用人工辅助或遥控手段,保障要求高、智能化水平低,无法满足无人艇自主回收的需求.为实现无人艇回收时脱挂钩的自动化操作,设计了一种吊放式的自动收放装置及其控制系统,在回收引导方面提出了基于相机与激光雷达信息融合的目标挂钩检测与定位方法,在回收控制方面提出了基于改进积分视线导引的无人艇回收路径跟踪控制算法.试验结果表明,在不同天气条件下,目标挂钩RMSE定位误差均小于0.5 m,满足无人艇回收引导的要求,回收引导成功率80%,初步解决了无人艇吊放式回收的自动脱挂钩问题.
Multi-sensor-based Autonomous Recovery Guidance for Unmanned Surface Vehicles
Launch and recovery constitute one of the key technologies in the application of unmanned surface vehicles and represent a major bottleneck restricting their utilization in the deep-sea domain.Currently,the recovery of unmanned surface vehicles mainly relies on manual assistance or remote control methods,featuring high safeguard requirements and a low level of intelligence,thus failing to fulfill the need for autonomous recovery of unmanned surface vehicles.To achieve the automatic operation of hook detachment and engagement during the recovery of unmanned surface vehicles,a davit-type automatic launch and recovery device along with its control system is devised.In terms of recovery guidance,a target hook detection and positioning approach based on the fusion of camera and lidar information is proposed.Regarding recovery con-trol,a recovery path tracking control algorithm based on improved integral line-of-sight guidance is proposed.The experi-mental outcomes indicate that under various weather conditions,the RMSE positioning error of the target hook is less than 0.5 m,meeting the requirements for the recovery guidance of unmanned surface vehicles,with a recovery guidance success rate of 80%.This resolves the issue of automatic hook detachment and engagement in the davit-type recovery of unmanned surface vehicles.

unmanned surface vehicleautonomous recoverymulti-sensor fusiondavit-type recoveryguidance and control

薛亮、许晨、孙雪娇、魏红艳、董琪皓

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武汉理工大学船海与能源动力工程学院,武汉 200082

常州玻璃钢造船厂有限公司,常州 213127

北京航天控制仪器研究所,北京 100039

航天时代(青岛)海洋装备科技发展有限公司,青岛 266404

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无人艇 自主回收 多传感器融合 吊放式收放 引导控制

2024

导航与控制
北京航天控制仪器研究所

导航与控制

CSTPCD
影响因子:0.133
ISSN:1674-5558
年,卷(期):2024.23(4)