D. Lane, M. Dunnigan, A. Quinn, P. Knightbridge, A. Clegg
{"title":"水下任务自动化的监控系统","authors":"D. Lane, M. Dunnigan, A. Quinn, P. Knightbridge, A. Clegg","doi":"10.1109/ROBOT.1995.525762","DOIUrl":null,"url":null,"abstract":"Current trends in offshore oil and gas exploration and production are to introduce increased automation technology to replace human intervention using divers. This is driven both by the desire to reduce cost, and by practical considerations working at increasing depths down to 1000 meters. Unmanned underwater vehicle and manipulator systems play a crucial role in carrying out installation, inspection, maintenance and repair of platforms, well-heads, pipelines and subsea completion systems. In support of this, work is progressing in the Ocean Systems Laboratory at Heriot-Watt on integrated robotic systems implementing Supervisory Control of Remotely Operated Vehicle (ROV)/Manipulator systems for practical tasks such as automated connector insertions and Non Destructive Test inspection of welds. The systems involve use of hybrid position/force control of hydraulic arms coupled to control of the ROV, with associated Motion Planning, Task Planning and World Modelling of the environment. Sensing involves fusion and interpretation of data from high frequency sonar, laser striping and video sensors. The video shows footage of a recently developed Supervisory Control system employing Task Planning, World Modelling, Motion Planning and Hybrid Position/Force Control using a Slings by TA-9 hydraulic underwater manipulator. The tasks executed are trajectory following, guarded moves, grasping, and automatic mating of a subsea connector. ACKNOWLEDGEMENT This work was funded as the project Advanced Control of Manipulators in the 1992-94 managed program me Technology For Unmanned Underwater Vehicles by a UK government-industry consortium comprising: Marine Technology Directorate Ltd., agents of the UK Engineering & Physical Sciences Research Council, Mobil North Sea Ltd., Simrad Osprey Ltd, Health and Safety Executive Offshore Safety Division, Rockwater Ltd., Shell UK Exploration and Production, Defense Research Agency Maritime Division, Dept of Energy Offshore Supplies Office and Lockheed Aeronautical Systems Co. Their financial support and constructive criticism is gratefully acknowledged. Underwater Vehicle 2 Control Tests on ROBY, An Unmanned Underwater Vehicle Riccardo Bono, Massimo Caccia and Gianmarco Veruggio Consiglio Nazionale delle Ricerche, Istituto per 1’Automazione Navale Via De Marini, 6 16149 Genova, ITALY E-mail: max@ian.ge.cnr.it (Massimo Caccia)","PeriodicalId":432931,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Robotics and Automation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Supervisory Control System for the Automation of Subsea Tasks\",\"authors\":\"D. Lane, M. Dunnigan, A. Quinn, P. Knightbridge, A. 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引用次数: 1
摘要
目前海上油气勘探和生产的趋势是引入更多的自动化技术,以取代使用潜水员的人工干预。这既是为了降低成本,也是为了将作业深度增加到1000米。无人潜航器和机械手系统在平台、井口、管道和海底完井系统的安装、检查、维护和维修中发挥着至关重要的作用。为了支持这一点,Heriot-Watt大学海洋系统实验室正在进行集成机器人系统的研究,该系统可实现远程操作车辆(ROV)/机械手系统的监督控制,用于自动连接器插入和焊缝无损检测等实际任务。该系统包括使用液压臂的混合位置/力控制耦合到ROV的控制,以及相关的运动规划、任务规划和环境建模。传感包括融合和解释来自高频声纳、激光条纹和视频传感器的数据。该视频显示了最近开发的监督控制系统的镜头,该系统采用任务规划、世界建模、运动规划和混合位置/力控制,使用TA-9液压水下机械手。执行的任务包括轨迹跟踪、保护移动、抓取和海底连接器的自动配合。这项工作由英国政府-工业联盟资助,作为1992-94年无人水下航行器技术管理计划中的操纵器高级控制项目,包括:海洋技术理事会有限公司、英国工程与物理科学研究委员会、美孚北海有限公司、Simrad Osprey有限公司、健康与安全执行海上安全部门、Rockwater有限公司、壳牌英国勘探与生产公司、国防研究局海事部门、能源部海上供应办公室和洛克希德航空系统公司的代理。感谢他们的财政支持和建设性的批评。Riccardo Bono, Massimo Caccia和Gianmarco Veruggio Consiglio Nazionale delle Ricerche, instituto per 1'Automazione Navale Via De Marini, 6 16149 Genova, ITALY E-mail: max@ian.ge.cnr.it (Massimo Caccia)
A Supervisory Control System for the Automation of Subsea Tasks
Current trends in offshore oil and gas exploration and production are to introduce increased automation technology to replace human intervention using divers. This is driven both by the desire to reduce cost, and by practical considerations working at increasing depths down to 1000 meters. Unmanned underwater vehicle and manipulator systems play a crucial role in carrying out installation, inspection, maintenance and repair of platforms, well-heads, pipelines and subsea completion systems. In support of this, work is progressing in the Ocean Systems Laboratory at Heriot-Watt on integrated robotic systems implementing Supervisory Control of Remotely Operated Vehicle (ROV)/Manipulator systems for practical tasks such as automated connector insertions and Non Destructive Test inspection of welds. The systems involve use of hybrid position/force control of hydraulic arms coupled to control of the ROV, with associated Motion Planning, Task Planning and World Modelling of the environment. Sensing involves fusion and interpretation of data from high frequency sonar, laser striping and video sensors. The video shows footage of a recently developed Supervisory Control system employing Task Planning, World Modelling, Motion Planning and Hybrid Position/Force Control using a Slings by TA-9 hydraulic underwater manipulator. The tasks executed are trajectory following, guarded moves, grasping, and automatic mating of a subsea connector. ACKNOWLEDGEMENT This work was funded as the project Advanced Control of Manipulators in the 1992-94 managed program me Technology For Unmanned Underwater Vehicles by a UK government-industry consortium comprising: Marine Technology Directorate Ltd., agents of the UK Engineering & Physical Sciences Research Council, Mobil North Sea Ltd., Simrad Osprey Ltd, Health and Safety Executive Offshore Safety Division, Rockwater Ltd., Shell UK Exploration and Production, Defense Research Agency Maritime Division, Dept of Energy Offshore Supplies Office and Lockheed Aeronautical Systems Co. Their financial support and constructive criticism is gratefully acknowledged. Underwater Vehicle 2 Control Tests on ROBY, An Unmanned Underwater Vehicle Riccardo Bono, Massimo Caccia and Gianmarco Veruggio Consiglio Nazionale delle Ricerche, Istituto per 1’Automazione Navale Via De Marini, 6 16149 Genova, ITALY E-mail: max@ian.ge.cnr.it (Massimo Caccia)