中国海洋大学机电工程系,山东,青岛,266100
网络首发:2018-12-10,
纸质出版:2018
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穆为磊 1, 邹振兴 1, 孙海亮 2, 等. 潜器浮力调节系统的低功耗控制策略[J]. 西安交通大学学报, 2018,52(12):44-49.
A Control Strategy with Low Power Consumption for Buoyancy Regulation System of Submersibles[J]. 2018, 52(12): 44-49.
穆为磊 1, 邹振兴 1, 孙海亮 2, 等. 潜器浮力调节系统的低功耗控制策略[J]. 西安交通大学学报, 2018,52(12):44-49. DOI: 10.7652/xjtuxb201812007.
A Control Strategy with Low Power Consumption for Buoyancy Regulation System of Submersibles[J]. 2018, 52(12): 44-49. DOI: 10.7652/xjtuxb201812007.
针对潜器浮力调节系统功耗较高、严重制约潜器续航里程的问题
以剖面浮标为例分析了潜器上浮和下潜的工作过程
发现了上浮过程功耗远大于下潜过程的现象
提出了一种上浮过程的低功耗控制策略。首先推导了柱塞泵额定转速运行时电机输出转矩与海水压强的函数关系式。采用Matlab/Simulink建立了无刷直流电机的速度闭环控制仿真模型
通过对仿真数据进行回归分析
分别获得了电机启动功耗和稳定运行功率关于输入转矩的关系式; 然后在考虑海水密度随深度变化的条件下
推导出总功耗与调节次数的函数关系式。最后通过对总功耗函数进行数值求解
发现总功耗与调节次数呈非线性关系。计算结果表明4 km潜器上浮过程调节16次时系统功耗最低
比传统调节一次时节约能量78.883 J
理论上节约能量48.3%。
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
that is
48.3% save in theory.
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