水下涡轮机动力系统大深度启动特性及控制策略研究

谢添立 ,  李代金 ,  秦侃 ,  罗凯 ,  党建军

弹道学报 ›› 2026, Vol. 38 ›› Issue (2) : 71 -84.

PDF (7342KB)
弹道学报 ›› 2026, Vol. 38 ›› Issue (2) : 71 -84. DOI: 10.12115/ddxb.2026.04009

水下涡轮机动力系统大深度启动特性及控制策略研究

作者信息 +

Starting Characteristics and Control Strategies of Underwater Turbine Power Systems at Great Depths

Author information +
文章历史 +
PDF (7518K)

摘要

开式循环水下涡轮机因具有功率潜力大、振动噪声小、大功率工况下效率高等优点,是高速水下航行器的优选动力方案。然而,该类发动机对工况变化(尤其背压变化)极为敏感,导致其在大深度下存在启动困难的技术瓶颈。针对该问题,本文建立了基于CFD的水下涡轮机动力系统启动过程在环仿真模型,系统研究了不同深度下的启动特性,揭示了大深度瞬态工况下系统参数演变规律与启动失败的机理,并探究了同时调节燃料泵排量和工作喷管数目的双变量控制策略对系统大深度启动特性的影响。结果表明:与设计工况相比,大深度启动时工质可用等熵焓降显著减小。在600 m水深下,药柱燃尽时涡轮机转速降幅达77.6%,推进剂供应不足,系统易因燃气生成量骤降而启动失败。减少工作喷管数目可使启动初期工质流量降低42.2%,有效提高燃烧室压力上升速率,但同时会降低系统流通面积,且部分进气度变化引起效率波动,最终限制了涡轮机的稳态输出转矩。通过动态调节工作喷管数目,可进一步改善系统的大深度启动特性,使系统稳态输出转矩提高126.4%。本文研究结果可为涡轮机动力系统大深度启动控制策略优化及工程应用提供参考。

Abstract

The open-cycle underwater turbine power system offers advantages such as high power potential,low vibration and noise,and high efficiency during high-power operation conditions. Therefore,it is a preferred propulsion solution for high-speed underwater vehicles. However,this type of engine is extremely sensitive to variations in operating conditions,particularly fluctuations in backpressure,resulting in technical challenges such as difficulty of deep-depth startup. To address this issue,a CFD-based simulation model was established for the startup process of the underwater turbine power system in this paper. The startup characteristics at various depths were investigated. The evolution patterns of system parameters and the failure mechanisms during deep-depth transient startup were revealed. In addition,a bi-variable control strategy,simultaneously regulating fuel pump displacement and the number of active nozzles was explored. Its effect on the deep-depth startup characteristics was analyzed. The results show that,compared with the design condition,the available isentropic enthalpy drop of the working gas decreases significantly during deep-depth startup. At a water depth of 600 m,the turbine speed drops by 77.6% when grain burns out. The propellant supply is insufficient,making the system prone to startup failure induced by a sudden decrease in gas generation. Reducing the number of active nozzles lowers the working fluid mass flow rate by 42.2% during the early startup,which effectively accelerates the pressure rise rate in the combustion chamber. However,it also reduces the system flow area,and together with efficiency fluctuations caused by variations in partial admission,ultimately limits the steady state output torque of the turbine. By dynamically adjusting the number of active nozzles,the deep-depth startup characteristics are further improved,resulting in a 126.4% increase in steady-state output torque. The findings of this study provide a valuable reference for the optimization of the deep-depth startup control strategy and the engineering application of turbine power systems.

关键词

开式循环 / 水下涡轮机 / 大深度启动 / 燃料泵排量 / 喷管数目

Key words

open-cycle / underwater turbine power system / startup process at great depth / fuel pump displacement / number of nozzle

引用本文

引用格式 ▾
谢添立,李代金,秦侃,罗凯,党建军. 水下涡轮机动力系统大深度启动特性及控制策略研究[J]. 弹道学报, 2026, 38(2): 71-84 DOI:10.12115/ddxb.2026.04009

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

COPELAND C D, MARTINEZ-BOTAS R F, SEILER M. Unsteady performance of a double entry turbocharger turbine with a comparison to steady flow conditions[J]. Journal of Turbomachinery, 2012, 134(2):021022.

[2]

COSTALL A, SZYMKO S, MARTINEZ-BOTAS R F, et al. Assessment of unsteady behavior in turbocharger turbines[C]// Proceedings of the ASME Turbo Expo 2006: Power for Land,Sea and Air. Barcelona:ASME, 2006.

[3]

KIM J H, SONG T W, KIM T S, et al. Dynamic simulation of full startup procedure of heavy-duty gas turbines[J]. Journal of Engineering for Gas Turbines Power, 2002, 124(3):510-516.

[4]

罗凯, 孙军亮, 党建军, . 水下涡轮发动机推进系统建模研究[J]. 鱼雷技术, 2009, 17(2):45-48.

[5]

LUO Kai, SUN Junliang, DANG Jianjun, et al. Modeling of underwater turbine engine propulsion system[J]. Torpedo Technology, 2009, 17(2):45-48. (in Chinese)

[6]

都治国, 彭博, 聂卫东. 基于计算流体动力学方法的鱼雷涡轮机功率计算[J]. 鱼雷技术, 2008, 16(6):54-57.

[7]

DU Zhiguo, PENG Bo, NIE Weidong. Power calculation of gas turbine based on the computational fluid dynamics(CFD)method for torpedo[J]. Torpedo Technology, 2008, 16(6):54-57. (in Chinese)

[8]

LIU S, LUO K, LIU H, et al. Investigation of startup process for underwater turbine power systems using computational fluid dynamics method[J]. Energy, 2024, 305:132207.

[9]

张方方, 张振山, 梁伟阁, . 水下蒸汽涡轮发动机变工况热力特性数值分析研究[J]. 兵工学报, 2014, 35(9):1466-1472.

[10]

ZHANG Fangfang, ZHANG Zhenshan, LIANG Weige, et al. Numerical analysis on thermal characteristics of underwater stream turbine in non-design condition[J]. Acta Armamentarii, 2014, 35(9):1466-1472. (in Chinese)

[11]

边昕, 张睿刚, 李涛, . 高负荷涡轮机流动特性及变工况性能数值研究[J]. 汽轮机技术, 2015, 57(2):81-85.

[12]

BIAN Xin, ZHANG Ruigang, LI Tao, et al. Numerical investigation on flow characteristics and off-design performance of highly-loaded turbine engine[J]. Turbine Technology, 2015, 57(2):81-85. (in Chinese)

[13]

杨东, 丁振东. 启动过程液体燃料进入燃烧室时间的选择[J]. 鱼雷技术, 2001, 9(2):33-35.

[14]

YANG Dong, DING Zhendong. Selection of the time at which liquid fuel enters the combustion chamber during the ignition process[J]. Torpedo Technology, 2001, 9(2):33-35. (in Chinese)

[15]

乔宏, 伊寅, 师海潮. 变参数 PID 方法在涡轮机闭环控制上的应用研究[J]. 鱼雷技术, 2009, 17(1):40-43.

[16]

QIAO Hong, YI Yin, SHI Haichao. Application of variable-parameter PID control to closed loop control for torpedo turbine engine[J]. Torpedo Technology, 2009, 17(1):40-43. (in Chinese)

[17]

郑直飞, 伊寅, 师海潮, . 变工况鱼雷燃气涡轮机调节方法的选择[J]. 鱼雷技术, 2005, 12(4):32-35.

[18]

ZHENG Zhifei, YI Yin, SHI Haichao, et al. Choice of torpedo gas turbine regulation under off-design conditions[J]. Torpedo Technology, 2005, 12(4):32-35. (in Chinese)

[19]

罗凯, 党建军, 王育才. 超大航深涡轮发动机系统的闭环控制[J]. 交通运输工程学报, 2005, 5(2):56-60.

[20]

LUO Kai, DANG Jianjun, WANG Yucai. Closed-loop control of turbine engine system in super deep operation condition[J]. Journal of Traffic and Transportation Engineering, 2005, 5(2):56-60. (in Chinese)

[21]

罗凯, 张学雷, 王晓欣, . 水下涡轮机系统转速闭环控制研究[J]. 鱼雷技术, 2015, 23(1):44-48.

[22]

LUO Kai, ZHANG Xuelei, WANG Xiaoxin, et al. A closed-loop rotary velocity controller for underwater turbine propulsion system[J]. Torpedo Technology, 2015, 23(1):44-48. (in Chinese)

[23]

种衡阳, 王育才, 刘剑钊, . 变工况条件下鱼雷涡轮发动机控制方法[J]. 火力与指挥控制, 2010, 35(S1):102-104.

[24]

ZHONG Hengyang, WANG Yucai, LIU Jianzhao, et al. Research of torpedo turbine control under non-design conditions[J]. Fire Control & Command Control, 2010, 35(S1):102-104. (in Chinese)

[25]

蒋彬, 罗凯, 高爱军, . 一种微型部分进气冲动式涡轮机设计方法[J]. 鱼雷技术, 2015, 23(5):353-358.

[26]

JIANG Bin, LUO Kai, GAO Aijun, et al. A design approach of micro partial admission impulse turbine[J]. Torpedo Technology, 2015, 23(5):353-358. (in Chinese)

[27]

ZHAO M, WEI T, HAO S, et al. Turbulence simulations with an improved interior penalty discontinuous Galerkin method and SST k-ω model[J]. Computers & Fluids, 2023, 263:105967.

[28]

ROCHA P A C, ROCHA H H B, CARNEIRO F O M, et al. A case study on the calibration of the k-ω SST(shear stress transport)turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils[J]. Energy, 2016, 97:144-150.

[29]

冯青, 李世武, 张丽. 工程热力学[M]. 西安: 西北工业大学出版社, 2006.

[30]

FENG Qing, LI Shiwu, ZHANG Li. Engineering Thermodyna-mics[M]. Xi’an: Northwestern Polytechnical University Press, 2006. (in Chinese)

[31]

KIELY D H, MOORE J T. Hydrocarbon fueled UUV power systems[C]// Proceedings of the 2002 Workshop on Autonomous Underwater Vehicles. San Antonio, Texas:IEEE,2002:121-128.

[32]

罗凯, 党建军, 王育才. 涡轮发动机喷管出口速度的估计方法[J]. 鱼雷技术, 2009, 17(1):44-47.

[33]

LUO Kai, DANG Jianjun, WANG Yucai. Estimation method of nozzle exit speed for torpedo turbine engine[J]. Torpedo Technology, 2009, 17(1):44-47. (in Chinese)

[34]

罗凯, 党建军, 王育才. 涡轮发动机系统的双变量控制[J]. 长安大学学报(自然科学版), 2005, 25(6):90-93.

[35]

LUO Kai, DANG Jianjun, WANG Yucai. Bi-variable control for turbine system[J]. Journal of Chang’an University(Natural Science Edition), 2005, 25(6):90-93. (in Chinese)

[36]

胥昊辰, 杨国来, 王宗范, . 基于模糊PID的重型无人作战系统车炮协同控制[J]. 弹道学报, 2026, 38(1):73-82.

[37]

XU Haochen, YANG Guolai, WANG Zongfan, et al. Vehicle-gun cooperative control of heavy unmanned combat system based on fuzzy PID[J]. Journal of Ballistics, 2026, 38(1):73-82. (in Chinese)

[38]

PAN Q, XIANG H, WANG Z, et al. Kinetic energy balance in turbulent particle-laden channel flow[J]. Physics of Fluids, 2020, 32(7):073307.

基金资助

国家自然科学基金面上项目(52571370)

AI Summary AI Mindmap
PDF (7342KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/