A control strategy with low power consumption for the flotation process of buoys is proposed to focus the problem that power consumption in buoyancy control system of submarines is high and severely restricts the range of submarines. A profile buoy is taken as an example to analyze the working process of submarines
and it is found that the power consumption of floating process is much greater than that of sinking process. Firstly
the relation between the output torque of a motor and the pressure of sea water is deduced. A simulation model of speed closed loop control for BLDCM(Brushless Direct Current Motor)is established by using Matlab/Simulink. The regression equation of start-up power consumption and output torque and the relationship between steady running power and output torque are obtained
respectively
through regression analysis of simulation data. Then
the functional relationship between total power consumption and regulation times is derived by considering the variation of seawater density with depth. Numerical solution of the total power consumption equation reveals that the total power consumption of the buoyancy control system is nonlinear with the number of adjustments. Calculation results show that when the floating process is adjusted 16 times for a 4000 m buoyancy
the total power consumption is the lowest
and saves 78.883 J energy than that of being adjusted only once
CHEN Jingyue, LIU Yinshui, WU Defa, et al. The development of a buoyancy adjustment system for submersibles [J]. Chinese Hydraulics & Pneumatics, 2012(1): 79-83.
ZHENG Rong, WANG Yu, WU Jianguo. AUV buoyancy regulating device design and simulation analysis [C]∥ Applied Mechanics and Materials. Zurich, Switzerland: Trans Tech Publications Ltd, 2014: 150-157.
YANG Yan, SUN Xiujun, WANG Yanhui. Analysis of technical research on underwater glider in shallow sea [J]. Journal of Ocean Technology, 2015, 34(4): 7-14.
GAO Shiyang, CUI Hanguo, ZHANG Qifeng, et al. The development of a deep-sea oil bladder type buoyancy adjustment system [J]. Chinese Hydraulics Pneumatics, 2016(10): 75-80.
SUN Qinggang, ZHENG Rong, AN Jiayu, et al. Depth dependent levitation control of AUV based on buoyancy regulating system [J]. Journal of Ocean Technology, 2017, 36(6): 33-37.
YAN Anqing, FANG Xuehong, YANG Bangqing. Primary discussion on status quo of UUV buoyancy adjustment system [J]. Mine Warfare Ship Self-Defence, 2009, 17(2): 55-59.
TANGIRALA S, DZIELSKI J. A variable buoyancy control system for a large AUV [J]. IEEE Journal of Oceanic Engineering, 2008, 32(4): 762-771.
MANLEY J E, WEIRICH J B. Deep frontiers: technology for ocean exploration [J]. Sea Technology, 2005, 46(4): 10-15.
CHEN Lu, PAN Binbin, CAO Zhengliang, et al. Research status and prospect of automatic profile buoy [J]. Journal of Ocean Technology, 2017, 36(2): 1-9.
PETZRICK E, TRUMAN J, FARGHER H. Profiling from 6,000 meters with the APEX-deep float [J]. Sea Technology, 2014, 55(2): 27-32.
KOBAYASHI T, AMAIKE K I, WATANABE K, et al. Deep NINJA: a new profiling float for deep ocean observation [C]∥Proceeding of the Twenty-second(2012)International Offshore and Polar Engineering Conference. Rhodes, Greece: ISOPE, 2012: 454-461.
CHEN Lu, CUI Weicheng, PAN Binbin. Research on energy saving of deep sea profile measurement buoy [J]. Shipbuilding of China, 2017, 58(3): 128-135.
AGRAWAL A, PRASAD B, VISWANATHAN V, et al. Dynamic modeling of variable ballast tank for spherical underwater robot [C]∥2013 IEEE International Conference on Industrial Technology. Piscataway, NJ, USA: IEEE, 2013: 58-63.
SUMANTR B, KARSITI M N, AGUSTIAWAN H. Development of variable ballast mechanism for depth positioning of spherical URV [C]∥IEEE International Symposium on Information Technology. Piscataway, NJ, USA: IEEE, 2008: 1-6.
SERGE L R, VINCENT D, XAVIER A, et al. “Deep-Arvor”: a new profiling float to extend the Argo observations down to 4 000 m depth [J]. Journal of Atmospheric Oceanic Technology, 2016, 33(5): 1039-1055.
VARSHNEY A, DWIVEDI B. Performance analysis of a BLDC drive under varying load [C]∥IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems. Piscataway, NJ, USA: IEEE, 2017: 1-4.