Mechanism Design and Diving-Floating Motion Performance Analysis on the Full Ocean Depth Landing Vehicle
SUN Hongming1,3, GUO Wei2, ZHOU Yue1,3, SUN Pengfei1,3, ZHANG Youbo1,3
1. College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China; 2. Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China; 3. Shanghai Engineering Research Center of Hadal Science and Technology, Shanghai 201306, China
Abstract:A full ocean depth landing vehicle is proposed to meet the requirements of large-scale mobile investigations and precise fixed-point operations on the seabed. A landing vehicle with two-stage ballasts is designed to improve the diving-floating motion performances and solve the problems of the loading parameters and the diving-floating time. The drag, lift and tilting moment of the landing vehicle are calculated by ICEM and Fluent hydrodynamic analysis software based on the dynamics and kinematics analysis model of the landing vehicle during diving and floating motion, the loading parameters and the position of the center of gravity. The hydrodynamic parameters are identified by the least squares method. Eventually, the mathematical model of the diving-floating motion performance and the loading parameter is established. The diving-floating speed and posture of the landing vehicle are controlled by adjusting the mass and position of two-stage ballasts, and then the motion performance and the time of the diving-floating process are studied and optimized. The analysis results show that the shortest diving and floating time of the landing vehicle are 5.39h and 5.98h respectively, when the primary and secondary ballasts are 53kg and 50kg respectively, and the installation positions are 0.38m and 0.58m respectively. After optimizing the loading parameters, the landing vehicle has the best diving-floating motion performance and can complete diving-floating motion in the shortest time, which provides more time for scientific research and operation on the seabed.
[1] Danovaro R, Snelgrove P V R, Tyler P. Challenging the paradigms of deep-sea ecology[J]. Trends in Ecology&Evolution, 2014, 29(8):465-475. [2] 张奇峰,张运修,张艾群.深海小型爬行机器人研究现状[J].机器人,2019,41(2):250-264. Zhang Q F, Zhang Y X, Zhang A Q. Research status of benthic small-scale crawling robots[J]. Robot, 2019, 41(2):250-264. [3] McGill P R, Sherman A D, Hobson B W, et al. Initial deployments of the Rover, an autonomous bottom-transecting instrument platform for long-term measurements in deep benthic environments[C]//OCEANS 2007. Piscataway, USA:IEEE, 2007:1337-1343. [4] Brandt A, Gutt J, Hildebrandt M, et al. Cutting the umbilical:New technological perspectives in benthic deep-sea research[J]. Journal of Marine Science and Engineering, 2016, 4(2). DOI:10. 3390/jmse4020036. [5] Wenzhoefer F, Wulff T, Floegel S, et al. ROBEX——Innovative robotic technologies for ocean observations, a deep-sea demonstration mission[C]//OCEANS 2016. Piscataway, USA:IEEE, 2016. DOI:10.1109/OCEANS.2016.7761215. [6] Sawa T, Aoki T, Osawa H, et al. Full depth ROV "BISMO" and its transponder[C]//OCEANS 2009. Piscataway, USA:IEEE, 2009:402-405. [7] Wenzhoefer F, Lemburg J, Hofbauer M, et al. TRAMPER——An autonomous crawler for long-term benthic oxygen flux studies in remote deep sea ecosystems[C]//OCEANS 2016. Piscataway, USA:IEEE, 2016. [8] Inoue T, Shiosawa T, Takagi K. Dynamic analysis of motion of crawler-type remotely operated vehicles[J]. IEEE Journal of Oceanic Engineering, 2013, 38(2):375-382. [9] Shiosawa T, Takagi K, Inoue T. Experimental and theoreticalstudy on the motion of ROV with crawler system[C]//OCEANS 2010. Piscataway, USA:IEEE, 2010. DOI:10.1109/OCEANS. 2010.5664332. [10] 潘彬彬,崔维成,叶聪,等.蛟龙号载人潜水器无动力潜浮运动分析系统开发[J].船舶力学,2012,16(Z1):58-71. Pan B B, Cui W C, Ye C, et al. Development of the unpowered diving and floating prediction system for deep manned submersible "JIAOLONG"[J]. Journal of Ship Mechanics, 2012, 16(Z1):58-71. [11] 俞建成,张奇峰,吴利红,等.水下滑翔机器人运动调节机构设计与运动性能分析[J].机器人,2005,27(5):390-395. Yu J C, Zhang Q F, Wu L H, et al. Movement mechanism design and motion performance analysis of an underwater glider[J]. Robot, 2005, 27(5):390-395. [12] Leonard N E, Graver J G. Model-based feedback control of autonomous underwater gliders[J]. IEEE Journal of Oceanic Engineering, 2001, 26(4):633-645. [13] 曾俊宝,李硕,刘鑫宇,等.便携式自主水下机器人动力学建模方法研究[J].计算机应用研究,2018,35(6):1747-1750. Zeng J B, Li S, Liu X Y, et al. Research on dynamic modeling of portable autonomous underwater vehicle[J]. Application Research of Computers, 2018, 35(6):1747-1750. [14] Giorgio-Serchi F, Arienti A, Corucci F, et al. Hybrid parameter identification of a multi-modal underwater soft robot[J]. Bio-inspiration and Biomimetics, 2017, 12(2). DOI:10.1088/1748-3190/aa5ccc. [15] Wehbe B, Hildebrandt M, Kirchner F. Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA:IEEE, 2017:4885-4890. [16] 刘鑫宇,李一平,封锡盛.万米级水下机器人浮力实时测量方法[J].机器人,2018,40(2):216-221. Liu X Y, Li Y P, Feng X S. Real-time measurement method of buoyancy of a full-ocean-depth underwater robot[J]. Robot, 2018, 40(2):216-221.