留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于相似换算N-dot的涡扇发动机全包线加速控制计划研究

王心怡 郑前钢 张海波

王心怡, 郑前钢, 张海波. 基于相似换算N-dot的涡扇发动机全包线加速控制计划研究[J]. 航空动力学报, 2025, 40(9):20240351 doi: 10.13224/j.cnki.jasp.20240351
引用本文: 王心怡, 郑前钢, 张海波. 基于相似换算N-dot的涡扇发动机全包线加速控制计划研究[J]. 航空动力学报, 2025, 40(9):20240351 doi: 10.13224/j.cnki.jasp.20240351
WANG Xinyi, ZHENG Qiangang, ZHANG Haibo. Study on turbofan engine full envelope acceleration control schedule based on similarity conversion of N-dot[J]. Journal of Aerospace Power, 2025, 40(9):20240351 doi: 10.13224/j.cnki.jasp.20240351
Citation: WANG Xinyi, ZHENG Qiangang, ZHANG Haibo. Study on turbofan engine full envelope acceleration control schedule based on similarity conversion of N-dot[J]. Journal of Aerospace Power, 2025, 40(9):20240351 doi: 10.13224/j.cnki.jasp.20240351

基于相似换算N-dot的涡扇发动机全包线加速控制计划研究

doi: 10.13224/j.cnki.jasp.20240351
详细信息
    作者简介:

    王心怡(2000-),女,硕士生,主要研究领域为航空发动机建模与控制。E-mail:wxy_hncn@163.com

  • 中图分类号: V231

Study on turbofan engine full envelope acceleration control schedule based on similarity conversion of N-dot

  • 摘要:

    针对转子加速度(N-dot)加速控制计划存在全包线范围内适用性不足的问题,提出了一种基于相似换算N-dot的全包线加速控制方法。推导并验证了在等风扇进口总温线上涡扇发动机风扇转速、压气机转速、涡轮前温度等参数稳态相似换算误差小;研究了N-dot可以直接反映剩余功率的大小,保证动态过程相似换算精度高;选择覆盖发动机全工作包线的有限个等温线工作点,构建了不同总温下换算的N-dot加速控制计划;通过相邻等温线线性插值将加速控制计划拓展至非等温线上工作点,实现N-dot加速控制方法全包线内适用。仿真结果表明:相比于传统开环油气比加速控制计划,在同一等温线不同工作点的加速过程,所提方法的加速时间分别缩短了5.31%和10.32%,在非等温线工作点的加速过程,加速时间缩短了57.74%,且全工作包线点的加速时间在2.3~12.3 s内,加速过程均不会出现参数超限问题。所提方法在发动机全包线内的加速控制均能满足快速性和安全性的需求。

     

  • 图 1  小涵道比涡扇发动机结构简图

    Figure 1.  Schematic diagram of small bypass ratio turbofan engine structure

    图 2  发动机加速过程的约束限制

    Figure 2.  Constraints imposed on the engine acceleration process

    图 3  压气机加速度特性图

    Figure 3.  Acceleration in compressor characteristics diagram

    图 4  N-dot加速控制计划基于等温线插值示意图

    Figure 4.  Interpolated N-dot acceleration control schedule based on isotherm

    图 5  传统方法示意图[24]

    Figure 5.  Traditional method diagram[24]

    图 6  小涵道比发动机飞行包线示意图

    Figure 6.  Flight envelope schematic of small bypass ratio engines

    图 7  换算的N-dot加速控制计划优化结果

    Figure 7.  Optimization results of converted N-dot acceleration control schedules

    图 8  等温线上两种不同方法加速过程对比

    Figure 8.  Comparison of acceleration process of two different methods on isotherm

    图 9  加速控制过程中压气机工作点的变化

    Figure 9.  Changes of compressor operating point during acceleration control process

    图 10  等温线上插值两种不同计划加速对比

    Figure 10.  Comparison of acceleration of interpolating two different schedules on isotherm

    图 11  全包线加速起点、终点

    Figure 11.  Starting and ending points of full envelope acceleration

    图 12  全包线加速仿真

    Figure 12.  Full envelope acceleration simulation

    表  1  常用发动机参数相似换算准则

    Table  1.   Common gas turbine parameter corrections

    发动机参数 相似换算准则
    转速 $ {N_{{\text{cor}}}} = N/\sqrt {{T_{{\text{t2}}}}} $
    温度 $ {T_{{\text{cor}}}} = T/{T_{{\text{t2}}}} $
    压力 $ {p_{{\text{cor}}}} = p/{p_{{\text{t2}}}} $
    燃油流量 $ {W_{{\text{fb,cor}}}} = {W_{{\text{fb}}}}/ ({p_{{\text{t2}}}}\sqrt {{T_{{\text{t2}}}}}) $
    注:表中下标cor表示对应的相似换算参数,Tt2pt2分别表示风扇进口总温度和进口总压。
    下载: 导出CSV

    表  2  不同等温线上稳态参数换算到地面点的误差

    Table  2.   Errors of converting steady-state parameters to ground on different isotherms

    误差/% $ \begin{gathered} H = 6.5\;{\text{km}},Ma = 0.7, \\ {T_{{\text{t2}}}} = 270\;{\text{K}} \\ \end{gathered} $ $\begin{gathered} H = 8.4\;{\text{km}},Ma = 1.08 ,\\ {T_{{\text{t2}}}} = 288.15\;{\text{K}} \\ \end{gathered} $ $\begin{gathered} H = 7.5\;{\text{km}},Ma = 1.45, \\ {T_{{\text{t2}}}} = 340\;{\text{K}} \\ \end{gathered} $
    eNf 1.77 0.115 3.42
    eNc 1.49 0.006 2.66
    eSmf 1.76 0.702 20.14
    eSmc 2.38 0.795 6.27
    eTt4 2.68 0.266 4.30
    下载: 导出CSV

    表  3  不同等温线上典型工作点的飞行条件

    Table  3.   Flight conditions at typical operating points on different isotherms

    风扇进口总温Tt2/K 飞行条件
    H/km Ma
    240 9.00 0.474
    270 6.50 0.700
    300 2.40 0.710
    340 7.50 1.450
    380 3.52 1.469
    下载: 导出CSV
  • [1] 孙健国. 面向21世纪航空动力控制展望[J]. 航空动力学报, 2001, 16(2): 97-102. SUN Jianguo. Prospects of the aeroengine control development in the early time of the 21st century[J]. Journal of Aerospace Power, 2001, 16(2): 97-102. (in Chinese doi: 10.3969/j.issn.1000-8055.2001.02.001

    SUN Jianguo. Prospects of the aeroengine control development in the early time of the 21st century[J]. Journal of Aerospace Power, 2001, 16(2): 97-102. (in Chinese) doi: 10.3969/j.issn.1000-8055.2001.02.001
    [2] WANG Maolin, WANG Lixin, YUE Ting, et al. Influence of unmanned combat aerial vehicle agility on short-range aerial combat effectiveness[J]. Aerospace Science and Technology, 2020, 96: 105534. doi: 10.1016/j.ast.2019.105534
    [3] SUN Fengyong, DU Yao, ZHANG Haibo. A study on optimal control of the aero-propulsion system acceleration process under the supersonic state[J]. Chinese Journal of Aeronautics, 2017, 30(2): 698-705. doi: 10.1016/j.cja.2017.02.002
    [4] 姜威, 尹金星, 郑前钢, 等. 基于双向优化策略的航空发动机多变量加速控制规律优化研究[J]. 推进技术, 2024, 45(6): 2304052. JIANG Wei, YIN Jinxing, ZHENG Qiangang, et al. Optimization of multivariable acceleration control law of aero-engine based on bidirectional optimization strategy[J]. Journal of Propulsion Technology, 2024, 45(6): 2304052. (in Chinese

    JIANG Wei, YIN Jinxing, ZHENG Qiangang, et al. Optimization of multivariable acceleration control law of aero-engine based on bidirectional optimization strategy[J]. Journal of Propulsion Technology, 2024, 45(6): 2304052. (in Chinese)
    [5] BAI Song, HUANG Hongzhong, LI Yanfeng, et al. A modified damage accumulation model for life prediction of aero-engine materials under combined high and low cycle fatigue loading[J]. Fatigue & Fracture of Engineering Materials & Structures, 2021, 44(11): 3121-3134.
    [6] LIN Jiewei, ZHANG Junhong, ZHANG Guichang, et al. Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks[J]. Chinese Journal of Mechanical Engineering, 2012, 25(2): 338-345. doi: 10.3901/CJME.2012.02.338
    [7] HUDAK S, LANNING B, LIGHT G, et al. The influence of uncertainty in usage and fatigue damage sensing on turbine engine prognosis[R]. Kingsport, US: Minerals, Metals, and Materials Society Materials Science and Technology Symposium on Materials Damage Prognosis, 2003.
    [8] 郑前钢, 张海波, 叶志锋, 等. 基于变导叶调节的涡扇发动机加速过程优化控制[J]. 航空动力学报, 2016, 31(11): 2801-2808. ZHENG Qiangang, ZHANG Haibo, YE Zhifeng, et al. Acceleration process optimization control of turbofan engine based on variable guide vane adjustment[J]. Journal of Aerospace Power, 2016, 31(11): 2801-2808. (in Chinese

    ZHENG Qiangang, ZHANG Haibo, YE Zhifeng, et al. Acceleration process optimization control of turbofan engine based on variable guide vane adjustment[J]. Journal of Aerospace Power, 2016, 31(11): 2801-2808. (in Chinese)
    [9] 孔祥兴, 董金钟. АЛ-31Φ发动机控制计划分析[C]// 第六届中国航空动力年会论文集. 南京: 中国航空学会动力年会, 2006: 734-741. KONG Xiangxin, DONG Jinzhong. Analysis of the control program of the engine АЛ-31Φ[C]// Proceedings of 6th Annual Meeting of Chinese Society of Aeronautics and Astronautics. Nangjing: The Annual Meeting of Chinese Society of Aeronautics and Astronautics, 2006: 734-741. (in Chinese

    KONG Xiangxin, DONG Jinzhong. Analysis of the control program of the engine АЛ-31Φ[C]// Proceedings of 6th Annual Meeting of Chinese Society of Aeronautics and Astronautics. Nangjing: The Annual Meeting of Chinese Society of Aeronautics and Astronautics, 2006: 734-741. (in Chinese)
    [10] 丁凯锋, 樊思齐. 变几何涡扇发动机加速控制规律优化设计[J]. 推进技术, 1999, 20(2): 17-20. DING Kaifeng, FAN Siqi. Optimal design of accelerating control law for variable geometry turbofan engine[J]. Journal of Propulsion Technology, 1999, 20(2): 17-20. (in Chinese doi: 10.3321/j.issn:1001-4055.1999.02.005

    DING Kaifeng, FAN Siqi. Optimal design of accelerating control law for variable geometry turbofan engine[J]. Journal of Propulsion Technology, 1999, 20(2): 17-20. (in Chinese) doi: 10.3321/j.issn:1001-4055.1999.02.005
    [11] 赵琳, 樊丁. 基于SQP的航空发动机加速规律优化方法[J]. 推进技术, 2010, 31(2): 216-218. ZHAO Lin, FAN Ding. Acceleration control law optimization in aero engine based on SQP[J]. Journal of Propulsion Technology, 2010, 31(2): 216-218. (in Chinese

    ZHAO Lin, FAN Ding. Acceleration control law optimization in aero engine based on SQP[J]. Journal of Propulsion Technology, 2010, 31(2): 216-218. (in Chinese)
    [12] MC CAFFERTY R J, STRAIGHT D M. Turbojet-engine starting and acceleration: NACA-EM-E55G28 [R]. Washington DC: National Aeronautics and Space Administration, 1956.
    [13] STIGLIC P, SCHMIDT R, DELIO G J. Experimental investigation of acceleration characteristics of a turbojet engine including regions of surge and stall for control applications[R]. NACA-RM-E54H24 , 1954.
    [14] 李宇琛, 李秋红, 张新晟, 等. 基于主动切换逻辑的涡扇发动机N-dot控制方法[J]. 北京航空航天大学学报, 2023, 49(11): 3156-3166. LI Yuchen, LI Qiuhong, ZHANG Xinsheng, et al. N-dot control method of turbofan engine based on active switching logic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2023, 49(11): 3156-3166. (in Chinese

    LI Yuchen, LI Qiuhong, ZHANG Xinsheng, et al. N-dot control method of turbofan engine based on active switching logic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2023, 49(11): 3156-3166. (in Chinese)
    [15] 张鑫海, 刘金鑫, 李明, 等. 航空发动机两种加速控制计划的融合控制方法研究[J]. 推进技术, 2022, 43(8): 210169. ZHANG Xinhai, LIU Jinxin, LI Ming, et al. Fusion control of two kinds of control schedules in aeroengine acceleration process[J]. Journal of Propulsion Technology, 2022, 43(8): 210169. (in Chinese

    ZHANG Xinhai, LIU Jinxin, LI Ming, et al. Fusion control of two kinds of control schedules in aeroengine acceleration process[J]. Journal of Propulsion Technology, 2022, 43(8): 210169. (in Chinese)
    [16] PARSONS D A. Dynamic compensation to N-dot schedules: US5029441[P]. 1991-09-07.
    [17] MERRILL W, LEHTINEN B, ZELLER J. The role of modern control theory in the design of controls for aircraft turbine engines[J]. Journal of Guidance, Control, and Dynamics, 1984, 7(6): 652-661.
    [18] FÖZÖ L, ANDOGA R, SCHREINER M, et al. Simulation aspects of adaptive control design for small turbojet engines[C]//2019 IEEE 23rd International Conference on Intelligent Engineering Systems. Piscataway, US: IEEE, 2019: 101-106.
    [19] 王曦, 党伟, 李志鹏, 等. 1种N-dot过渡态PI控制律的设计方法[J]. 航空发动机, 2015, 41(6): 1-5. WANG Xi, DANG Wei, LI Zhipeng, et al. A design method of N-dot transient state PI control laws[J]. Aeroengine, 2015, 41(6): 1-5. (in Chinese

    WANG Xi, DANG Wei, LI Zhipeng, et al. A design method of N-dot transient state PI control laws[J]. Aeroengine, 2015, 41(6): 1-5. (in Chinese)
    [20] 孔祥兴, 王曦, 张绍基, 等. 民用涡扇发动机起动过程改进的分段组合控制计划研究与试验[J]. 航空动力学报, 2014, 29(12): 2924-2929. KONG Xiangxing, WANG Xi, ZHANG Shaoji, et al. Research and experiment on improved sectional combination control scheme for civil turbofan engine’s startup process[J]. Journal of Aerospace Power, 2014, 29(12): 2924-2929. (in Chinese

    KONG Xiangxing, WANG Xi, ZHANG Shaoji, et al. Research and experiment on improved sectional combination control scheme for civil turbofan engine’s startup process[J]. Journal of Aerospace Power, 2014, 29(12): 2924-2929. (in Chinese)
    [21] 姚太克, 闻伟, 杨刚, 等. 一种涡扇发动机加减速转速变化率闭环控制技术[J]. 推进技术, 2020, 41(6): 1404-1410. YAO Taike, WEN Wei, YANG Gang, et al. Control law design for N-dot closed control loop for acceleration and deceleration process in turbofan engine[J]. Journal of Propulsion Technology, 2020, 41(6): 1404-1410. (in Chinese

    YAO Taike, WEN Wei, YANG Gang, et al. Control law design for N-dot closed control loop for acceleration and deceleration process in turbofan engine[J]. Journal of Propulsion Technology, 2020, 41(6): 1404-1410. (in Chinese)
    [22] CAI Changpeng, WANG Yong, CHEN Haoying, et al. Full-envelope acceleration control method of turbofan engine based on variable geometry compound adjustment[J]. Aerospace Science and Technology, 2022, 128: 107748. doi: 10.1016/j.ast.2022.107748
    [23] WANG Kang, XU Maojun, LI Ming, et al. A multi-input based full envelope acceleration schedule design method for gas turbine engine based on multilayer perceptron network[J]. Aerospace Science and Technology, 2022, 130: 107928. doi: 10.1016/j.ast.2022.107928
    [24] 刘子赫, 郑前钢, 刘明磊, 等. 涡扇发动机全包线加速控制计划改进方法研究[J]. 推进技术, 2022, 43(1): 200416. LIU Zihe, ZHENG Qiangang, LIU Minglei, et al. Improvement method of turbofan engine full-envelope acceleration control schedule[J]. Journal of Propulsion Technology, 2022, 43(1): 200416. (in Chinese

    LIU Zihe, ZHENG Qiangang, LIU Minglei, et al. Improvement method of turbofan engine full-envelope acceleration control schedule[J]. Journal of Propulsion Technology, 2022, 43(1): 200416. (in Chinese)
    [25] 姚华, 张天宏. 航空发动机控制系统设计技术[M]. 北京: 科学出版社, 2017. YAO Hua, ZHANG Tianhong. Control system design technology for aero-engine[M]. Beijing: Science Press, 2017. (in Chinese

    YAO Hua, ZHANG Tianhong. Control system design technology for aero-engine[M]. Beijing: Science Press, 2017. (in Chinese)
    [26] 孙健国. 现代航空动力装置控制[M]. 修订版. 北京: 航空工业出版社, 2009. SUN Jianguo. Control of modern aviation power plant[M]. Revised ed. Beijing: Aviation Industry Press, 2009. (in Chinese

    SUN Jianguo. Control of modern aviation power plant[M]. Revised ed. Beijing: Aviation Industry Press, 2009. (in Chinese)
    [27] 杨坤, 谢寿生, 谢锋. SQP方法在航空发动机加速寻优控制中的应用[J]. 电光与控制, 2007, 14(1): 106-108, 111. YANG Kun, XIE Shousheng, XIE Feng. Optimum acceleration performance seeking control of aeroengine based on SQP[J]. Electronics Optics & Control, 2007, 14(1): 106-108, 111. (in Chinese doi: 10.3969/j.issn.1671-637X.2007.01.029

    YANG Kun, XIE Shousheng, XIE Feng. Optimum acceleration performance seeking control of aeroengine based on SQP[J]. Electronics Optics & Control, 2007, 14(1): 106-108, 111. (in Chinese) doi: 10.3969/j.issn.1671-637X.2007.01.029
    [28] VOLPONI A J. Gas turbine parameter corrections[J]. Journal of Engineering for Gas Turbines and Power, 1999, 121(4): 613-621. doi: 10.1115/1.2818516
    [29] PALUMBO N, MOES T, VACHON M J. Initial flight tests of the NASA F-15B propulsion flight test fixture[R]. AIAA 2002-4131, 2002.
  • 加载中
图(12) / 表(3)
计量
  • 文章访问数:  638
  • HTML浏览量:  240
  • PDF量:  64
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-05-30
  • 网络出版日期:  2024-12-14

目录

    /

    返回文章
    返回